cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25505/fiz.icsd.cc2ff3zz
title: CSD 2246941: Experimental Crystal Structure Determination

description: Related Article: Jon A. Newnham, Quinn D. Gibson, T. Wesley Surta, Alexandra Morscher, Troy D. Manning, Luke M. Daniels, John B. Claridge, M. J. Rosseinsky|2023|J.Mater.Chem.A|11|15739|doi:10.1039/D3TA01630G
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2ff401
title: CSD 2246942: Experimental Crystal Structure Determination

description: Related Article: Jon A. Newnham, Quinn D. Gibson, T. Wesley Surta, Alexandra Morscher, Troy D. Manning, Luke M. Daniels, John B. Claridge, M. J. Rosseinsky|2023|J.Mater.Chem.A|11|15739|doi:10.1039/D3TA01630G
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2ff412
title: CSD 2246943: Experimental Crystal Structure Determination

description: Related Article: Jon A. Newnham, Quinn D. Gibson, T. Wesley Surta, Alexandra Morscher, Troy D. Manning, Luke M. Daniels, John B. Claridge, M. J. Rosseinsky|2023|J.Mater.Chem.A|11|15739|doi:10.1039/D3TA01630G
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/tv68h59j63
title: DCPL

description: This study constructs a new dataset named Documents with Complex Page Layouts (DCPL). The dataset consists of grayscale scanned images of real documents, covering various types such as journals, magazines, and academic papers. It features diverse layout styles and heterogeneous content structures. The documents indude formulas, tables,illustrations, and multlingual text, with languages including but not limited toEnglish, Chinese, and Russian.
The page layouts exhibit complex and highly variable structures, incuding two-column formats,embedded images and text, mixed text -imagearangements, and irregular paragraph layouts, effectively representing a wide range of document styles encountered in real-world scenarios.The entire DCPL dataset contains 900 document pages.
DOI: 10.17632/tv68h59j63.1
title: DCPL

description: This study constructs a new dataset named Documents with Complex Page Layouts (DCPL). The dataset consists of grayscale scanned images of real documents, covering various types such as journals, magazines, and academic papers. It features diverse layout styles and heterogeneous content structures. The documents indude formulas, tables,illustrations, and multlingual text, with languages including but not limited toEnglish, Chinese, and Russian.
The page layouts exhibit complex and highly variable structures, incuding two-column formats,embedded images and text, mixed text -imagearangements, and irregular paragraph layouts, effectively representing a wide range of document styles encountered in real-world scenarios.The entire DCPL dataset contains 900 document pages.
DOI: 10.17632/psxdxfw37t
title: Immersive virtual reality exposure for reducing preoperative anxiety in children - Clinical trial data

description: This dataset contains the clinical trial data reported in the manuscript "Immersive virtual reality exposure for reducing preoperative anxiety in children - a randomized controlled trial" by Kwok et al. The data captures both demographic information and assessment outcomes for paediatric participants.

- Study Design -
The detailed study design is presented in the manuscript.

- Folder Structure and File Organisation -
The dataset is organized into a hierarchical directory structure based on the study groups. The Root directory contains two main subfolders:
(1) Root &gt; VR: Contains data for participants allocated to the VR group (N=34).
(2) Root &gt; control: Contains data for participants allocated to the control group (N=38).
Each subfolder (VR and control) contains two Comma-Separated Values (CSV) files:
(i) Demographic Data (VR_demographics.csv or control_demographics.csv) - This file contains the demographics of the participants.
(ii) Assessment Results (VR_assessment.csv or control_assessment.csv) - This file contains the primary and secondary outcome measures.

- Data Columns -
VR_demographics.csv or control_demographics.csv:
* Code: Unique anonymized identifier.
* Age: Age of the participant (in years).
* Sex: Biological sex.
* ASA: American Society of Anesthesiologists (ASA) physical status classification system score, indicating the patient's pre-anaesthesia medical comorbidities.
* Subspecialty: The surgical subspecialty under which the participant was treated.
* Adm Date: Admission date.
* Surg Date: Date of the surgical procedure.
VR_assessment.csv or control_assessment.csv:
* Code: Unique anonymized identifier (links to the demographics file).
* ICC: Induction Compliance Checklist score at anaesthesia induction.
* PBRS: Procedural Behaviour Rating Scale score at anaesthesia induction.
* mYPAS-T0: Modified Yale Preoperative Anxiety Scale score measured at admission).
* mYPAS-T1: Modified Yale Preoperative Anxiety Scale score measured at anaesthesia induction).
* STAI-T: State-Trait Anxiety Inventory score (Trait subscale).
* STAI-S: State-Trait Anxiety Inventory score (State subscale).
* PSS-PAC: Parental Satisfaction Score regarding pre-anaesthetic assessment clinic services.
* PSS-Preop: Parental Satisfaction Score regarding pre-op management services.
* PSS-Intraop: Parental Satisfaction Score regarding intra-op management services.
* PSS-Postop: Parental Satisfaction Score regarding post-op management services.
* PSS-Total: The aggregate Parental Satisfaction Score across all service phases.

- Data Processing -
All direct identifiers have been removed to protect participant privacy. Participants are identified solely by random codes. Missing values are represented by empty cells. The dataset includes only the data from participants who were included in the final analyses (N=72).

- Research Ethics -
This study was approved by the Hospital Authority Central Institutional Review Board and was registered with ClinicalTrials.gov.
DOI: 10.17632/psxdxfw37t.1
title: Immersive virtual reality exposure for reducing preoperative anxiety in children - Clinical trial data

description: This dataset contains the clinical trial data reported in the manuscript "Immersive virtual reality exposure for reducing preoperative anxiety in children - a randomized controlled trial" by Kwok et al. The data captures both demographic information and assessment outcomes for paediatric participants.

- Study Design -
The detailed study design is presented in the manuscript.

- Folder Structure and File Organisation -
The dataset is organized into a hierarchical directory structure based on the study groups. The Root directory contains two main subfolders:
(1) Root &gt; VR: Contains data for participants allocated to the VR group (N=34).
(2) Root &gt; control: Contains data for participants allocated to the control group (N=38).
Each subfolder (VR and control) contains two Comma-Separated Values (CSV) files:
(i) Demographic Data (VR_demographics.csv or control_demographics.csv) - This file contains the demographics of the participants.
(ii) Assessment Results (VR_assessment.csv or control_assessment.csv) - This file contains the primary and secondary outcome measures.

- Data Columns -
VR_demographics.csv or control_demographics.csv:
* Code: Unique anonymized identifier.
* Age: Age of the participant (in years).
* Sex: Biological sex.
* ASA: American Society of Anesthesiologists (ASA) physical status classification system score, indicating the patient's pre-anaesthesia medical comorbidities.
* Subspecialty: The surgical subspecialty under which the participant was treated.
* Adm Date: Admission date.
* Surg Date: Date of the surgical procedure.
VR_assessment.csv or control_assessment.csv:
* Code: Unique anonymized identifier (links to the demographics file).
* ICC: Induction Compliance Checklist score at anaesthesia induction.
* PBRS: Procedural Behaviour Rating Scale score at anaesthesia induction.
* mYPAS-T0: Modified Yale Preoperative Anxiety Scale score measured at admission).
* mYPAS-T1: Modified Yale Preoperative Anxiety Scale score measured at anaesthesia induction).
* STAI-T: State-Trait Anxiety Inventory score (Trait subscale).
* STAI-S: State-Trait Anxiety Inventory score (State subscale).
* PSS-PAC: Parental Satisfaction Score regarding pre-anaesthetic assessment clinic services.
* PSS-Preop: Parental Satisfaction Score regarding pre-op management services.
* PSS-Intraop: Parental Satisfaction Score regarding intra-op management services.
* PSS-Postop: Parental Satisfaction Score regarding post-op management services.
* PSS-Total: The aggregate Parental Satisfaction Score across all service phases.

- Data Processing -
All direct identifiers have been removed to protect participant privacy. Participants are identified solely by random codes. Missing values are represented by empty cells. The dataset includes only the data from participants who were included in the final analyses (N=72).

- Research Ethics -
This study was approved by the Hospital Authority Central Institutional Review Board and was registered with ClinicalTrials.gov.
DOI: 10.17632/685y5h3rhj
title: Animal Production

description: Raw Data
DOI: 10.17632/685y5h3rhj.1
title: Animal Production

description: Raw Data
DOI: 10.15468/dl.8ep677
title: Occurrence Download

description: A dataset containing 1059 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aegotheles albertisi"
 ]
}

 The dataset includes 1059 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005380-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/pkxfg837vp
title: Data- Mixed grazing alleviated the inhibition effect of nutrient loss on soil nitrogen mineralization in alpine grassland

description: Data of soil net N mineralization under different herbivore assemblages.
DOI: 10.17632/pkxfg837vp.2
title: Data- Mixed grazing alleviated the inhibition effect of nutrient loss on soil nitrogen mineralization in alpine grassland

description: Data of soil net N mineralization under different herbivore assemblages.
DOI: 10.5281/zenodo.18336772
title: Monitoring and surveillance data for EFSA chemical risk assessment needs: data source inventory

description: This file is one of the deliverables of the EFSA‑commissioned project 'Monitoring and surveillance data for chemical risk assessment needs in EFSA: exploring available sources' (OC/EFSA/IDATA/2023/01).

 

It provides a structured inventory of data sources relevant to monitoring and surveillance of chemicals across eight chemical groups: pesticides, environmental pollutants, biogenic substances, feed additives, food additives and flavourings, food enzymes, food contact materials and processing contaminants.

 

The inventory compiles 114 data sources, identified through systematic literature review, web searches and stakeholder consultation. Each source is mapped against the 21 prioritised data gaps identified in the project, allowing to understand which chemical monitoring data needs are currently addressed and where gaps do persist. Each entry includes metadata on, among others, source characteristics, geographical scope, chemical groups covered, related prioritised data gaps, data accessibility and FAIR (Findable, Accessible, Interoperable and Reusable) related attributes.

 

The inventory accompanies the project’s final report and is intended as a reference resource for researchers, authorities and stakeholders working on dietary risk assessment of chemicals, data integration, and One Health‑aligned risk assessment.
description: EU; xlsx; idata@efsa.europa.eu
DOI: 10.5281/zenodo.18336773
title: Monitoring and surveillance data for EFSA chemical risk assessment needs: data source inventory

description: This file is one of the deliverables of the EFSA‑commissioned project 'Monitoring and surveillance data for chemical risk assessment needs in EFSA: exploring available sources' (OC/EFSA/IDATA/2023/01).

 

It provides a structured inventory of data sources relevant to monitoring and surveillance of chemicals across eight chemical groups: pesticides, environmental pollutants, biogenic substances, feed additives, food additives and flavourings, food enzymes, food contact materials and processing contaminants.

 

The inventory compiles 114 data sources, identified through systematic literature review, web searches and stakeholder consultation. Each source is mapped against the 21 prioritised data gaps identified in the project, allowing to understand which chemical monitoring data needs are currently addressed and where gaps do persist. Each entry includes metadata on, among others, source characteristics, geographical scope, chemical groups covered, related prioritised data gaps, data accessibility and FAIR (Findable, Accessible, Interoperable and Reusable) related attributes.

 

The inventory accompanies the project’s final report and is intended as a reference resource for researchers, authorities and stakeholders working on dietary risk assessment of chemicals, data integration, and One Health‑aligned risk assessment.
description: EU; xlsx; idata@efsa.europa.eu
DOI: 10.17632/stvb9wn3rr
title: Dynamic Linear Expenditure System with stochastic trends in preferences: Bayesian estimation using time-series data

description: Replication package for the article “Dynamic Linear Expenditure System with Stochastic Trends in Preferences: Bayesian Estimation Using Time-Series Data”, including code, data, and precomputed results.
DOI: 10.17632/stvb9wn3rr.1
title: Dynamic Linear Expenditure System with stochastic trends in preferences: Bayesian estimation using time-series data

description: Replication package for the article “Dynamic Linear Expenditure System with Stochastic Trends in Preferences: Bayesian Estimation Using Time-Series Data”, including code, data, and precomputed results.
DOI: 10.17632/wx7226nzg3
title: High energy-density, fast-chargeable lithium-ion batteries by mechanically interlocked polymers

description: This repository contains data used to generate the plots in the manuscript and the supplementary materials of
"High energy-density, fast-chargeable lithium-ion batteries by mechanically interlocked polymers", submitted to Joule.

The files are named according to the figure numbers and panel labels used in the manuscript. The formats of the files are txt., csv, and opju. Opju files can be opened through the free Origin viewer software. (https://www.originlab.com/viewer/) Each file has a header indicating the quantity contained in each column. Additional details on how these data were processed and obtained can be found in the METHODs and supplemental information.
DOI: 10.17632/wx7226nzg3.2
title: High energy-density, fast-chargeable lithium-ion batteries by mechanically interlocked polymers

description: This repository contains data used to generate the plots in the manuscript and the supplementary materials of
"High energy-density, fast-chargeable lithium-ion batteries by mechanically interlocked polymers", submitted to Joule.

The files are named according to the figure numbers and panel labels used in the manuscript. The formats of the files are txt., csv, and opju. Opju files can be opened through the free Origin viewer software. (https://www.originlab.com/viewer/) Each file has a header indicating the quantity contained in each column. Additional details on how these data were processed and obtained can be found in the METHODs and supplemental information.
DOI: 10.5281/zenodo.18594906
title: Urban Transport Network Dataset of Oran, Algeria

description: Georeferenced graph dataset describing the urban public transport network of Oran, Algeria, including bus and tram lines. The dataset is provided in GraphML format and was used for clustering-based hub identification and route planning experiments.
DOI: 10.17632/75x3v4jyr2
title: VAMOS-Cam: Versatile Affordable Modular Stackable Camera System

description: We propose a versatile modular camera system, that can be used in various fields of research, especially for camera array setups. Current camera setups—whether single, stereo, or array configurations—are rarely available off-the-shelf and typically require custom mechanical assemblies. Our system overcomes this challenge by offering a building-block catalog of components that users can easily fabricate and assemble. It leverages consumer-grade hardware, which has improved dramatically in recent years, providing affordable alternatives to industrial cameras without sacrificing capability. The modular approach enhances reproducibility and enables research into innovative methods, including generic camera calibration.

The design files include all documents required to fabricate and assemble the VAMOS-Cam System.

The documentation contains detailed instructions on the manufacturing process, required tools and gives insight into the design of the components. Furthermore it states instructions on operation, as well as safety considerations. All schematics (PCB and non-PCB) were drawn in KiCad 8, which was also used to keep track of parts lists. The files designated with 'PCB' include a printed circuit board design.
The CAD files illustrate all mechanical components of the setup and are supplemented by detailed mechanical drawings, by which the components that require manufacturing can be produced.
DOI: 10.17632/75x3v4jyr2.2
title: VAMOS-Cam: Versatile Affordable Modular Stackable Camera System

description: We propose a versatile modular camera system, that can be used in various fields of research, especially for camera array setups. Current camera setups—whether single, stereo, or array configurations—are rarely available off-the-shelf and typically require custom mechanical assemblies. Our system overcomes this challenge by offering a building-block catalog of components that users can easily fabricate and assemble. It leverages consumer-grade hardware, which has improved dramatically in recent years, providing affordable alternatives to industrial cameras without sacrificing capability. The modular approach enhances reproducibility and enables research into innovative methods, including generic camera calibration.

The design files include all documents required to fabricate and assemble the VAMOS-Cam System.

The documentation contains detailed instructions on the manufacturing process, required tools and gives insight into the design of the components. Furthermore it states instructions on operation, as well as safety considerations. All schematics (PCB and non-PCB) were drawn in KiCad 8, which was also used to keep track of parts lists. The files designated with 'PCB' include a printed circuit board design.
The CAD files illustrate all mechanical components of the setup and are supplemented by detailed mechanical drawings, by which the components that require manufacturing can be produced.
DOI: 10.17632/xn262bshj2
title: Integrated transcriptional network analysis identifies POU2F2 as a key regulatory transcription factor in atherosclerosis

description: Replication Data for: Integrated transcriptional network analysis identifies POU2F2 as a key regulatory transcription factor in atherosclerosis
DOI: 10.17632/xn262bshj2.1
title: Integrated transcriptional network analysis identifies POU2F2 as a key regulatory transcription factor in atherosclerosis

description: Replication Data for: Integrated transcriptional network analysis identifies POU2F2 as a key regulatory transcription factor in atherosclerosis
DOI: 10.17632/dkk7rjrh9r
title: Raw data for Manuscript_Neural and Behavioral Data

description: Sample raw data for calcium imaging
DOI: 10.17632/dkk7rjrh9r.1
title: Raw data for Manuscript_Neural and Behavioral Data

description: Sample raw data for calcium imaging
DOI: 10.5281/zenodo.18595218
title: Merged_Database_Scopus&WOS_2015_2025_Cleaned

description: Bibliographic Dataset: Scientometric Analysis of AI in E-commerce (2015–2025)This dataset contains the bibliographic metadata of 868 unique publications analyzed in the study regarding the evolutionary dynamics of Artificial Intelligence in E-commerce. The data was retrieved and merged from Scopus and Web of Science databases, covering the period 2015–2025.Text file with full multi-layered Boolean search strings used for data extraction from Scopus and Web of Science. It is provided to ensure full transparency, reproducibility, and to address the specific terminological coverage of the study.Тhesaurus  text file used for keyword consolidation to ensure high-quality cluster analysis and reproducibility.
DOI: 10.5281/zenodo.18140405
title: Merged_Database_Scopus&WOS_2015_2025_Cleaned

description: Bibliographic Dataset: Scientometric Analysis of AI in E-commerce (2015–2025)This dataset contains the bibliographic metadata of 868 unique publications analyzed in the study regarding the evolutionary dynamics of Artificial Intelligence in E-commerce. The data was retrieved and merged from Scopus and Web of Science databases, covering the period 2015–2025.Text file with full multi-layered Boolean search strings used for data extraction from Scopus and Web of Science. It is provided to ensure full transparency, reproducibility, and to address the specific terminological coverage of the study.Тhesaurus  text file used for keyword consolidation to ensure high-quality cluster analysis and reproducibility.
DOI: 10.5281/zenodo.18594969
title: Stress, resilience and life satisfaction
DOI: 10.15159/phytop.197
title: Lavassaare

description: Phytoplankton biomass, diversity and abundance in samples collected from Lake Lavassaare during the period 1929-1983.
DOI: 10.25850/nioz/7b.b.mk
title: 2025 Rapportage Monitoring Verzuring Noordzee

description: Er is een nieuwe versie (v2025.06) van de dataset van het Rijkswaterstaat (RWS)-NIOZ-monitoringsprogramma voor oceaanverzuring uitgebracht, ingediend bij IOCUNESCO en gearchiveerd op Zenodo (doi:10.5281/zenodo.17422432). De bijgewerkte versie bestaat uit 1.336 pH metingen (26 meer dan in de vorige versie, v2024.08), 1.491 metingen van totale alkaliniteit (TA; 184 meer) en 1.492 van opgeloste anorganische koolstof (dissolved inorganic carbon, DIC; 184 meer), aan monsters die zijn verzameld tussen 22 januari 2018 en 30 april 2025. Er zijn minder nieuwe pH-metingen gedaan dan verwacht vanwege een vertraging in de gegevensverwerking door softwareproblemen, maar de overige gegevens zullen in de komende maanden alsnog worden verwerkt en toegevoegd aan een volgende versie van de dataset. Daarnaast zijn er enkele recentere metingen gedaan door het NIOZ die nog niet helemaal verwerkt zijn omdat de aanvullende gegevens van RWS nog niet beschikbaar zijn. In dit rapport presenteren we de bijgewerkte dataset en lichten we drie onderzoeksactiviteiten uit waaraan de dataset het afgelopen jaar heeft bijgedragen.