cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57745/wou2xg
title: Raman spectra of cocoa beans

description: Raman spectra of cocoa beans, which are fermented and dried form the varieties Criollo, Forastero, and Trinitario. They were collected in the Republic of Congo in 2022 in Sangha (North region) and in Niari (South Region). 200 beans of each (variety x region) were analyzed. For the measurements: use of QE Pro-Raman Raman spectrometer equipped with a class 3B laser (785 nm, 499 mw CW, EN/IEC 60825-1:2014-5). The total integration time of a spectrum was 5000 ms, and the excitation laser power was 500 mW, and the spectral range was 150–2850 cm-1. The software was OceanView. For each bean, three different areas of each side were scanned three times. The average spectra were then calculated for each bean.
DOI: 10.5281/zenodo.18374301
title: Pimp My LLM: Leveraging Variability Modeling to Tune Inference Hyperparameters

description: All the artifacts of the "Pimp My LLM: Leveraging Variability Modeling to Tune Inference Hyperparameters" study (code, datasets, and results)
DOI: 10.5281/zenodo.17375044
title: Pimp My LLM: Leveraging Variability Modeling to Tune Inference Hyperparameters

description: All the artifacts of the "Pimp My LLM: Leveraging Variability Modeling to Tune Inference Hyperparameters" study (code, datasets, and results)
DOI: 10.34740/kaggle/dsv/14623647
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.17740910
title: Data supporting 'Pressure-Dependent Yield Stress of Organoclay-Based Gels'
DOI: 10.5281/zenodo.17740909
title: Data supporting 'Pressure-Dependent Yield Stress of Organoclay-Based Gels'
DOI: 10.5281/zenodo.17739934
title: Data supporting 'How Preparation Protocols Control the Rheology of Organoclay Gels'
DOI: 10.5281/zenodo.17739935
title: Data supporting 'How Preparation Protocols Control the Rheology of Organoclay Gels'
DOI: 10.6084/m9.figshare.30696173
title: <b>An open occurrence dataset for European subterranean spiders</b>

description: The database comprises 31,224 records of 637 subterranean-dwelling spiders, covering a range of variables including taxonomy, locality details (such as geographic coordinates, location name, country, habitat), and reference information for each record.The collected data are distributed across 42 countries within the European continent, with varying spatial uncertainty. Most coordinates of localities are taken at the cave entrance (uncertainty of ca. 10 m), or at the nearest hamlet when precise coordinates are not available (uncertainty of ca. 1 km).All variables are coded using the Darwin Core Standard (https://dwc.tdwg.org/), ensuring interoperability with the Global Biodiversity Information Facility (GBIF) and other biodiversity databases.<br>
DOI: 10.6084/m9.figshare.30696173.v1
title: <b>An open occurrence dataset for European subterranean spiders</b>

description: The database comprises 31,224 records of 637 subterranean-dwelling spiders, covering a range of variables including taxonomy, locality details (such as geographic coordinates, location name, country, habitat), and reference information for each record.The collected data are distributed across 42 countries within the European continent, with varying spatial uncertainty. Most coordinates of localities are taken at the cave entrance (uncertainty of ca. 10 m), or at the nearest hamlet when precise coordinates are not available (uncertainty of ca. 1 km).All variables are coded using the Darwin Core Standard (https://dwc.tdwg.org/), ensuring interoperability with the Global Biodiversity Information Facility (GBIF) and other biodiversity databases.<br>
DOI: 10.5281/zenodo.18288477
title: Argumentative Zoning of Student-Written Thesis Abstracts in Latvian and English

description: This corpus consists of AZ-annotated bachelor theses abstracts, each written in Latvian and English. The abstracts are annotated using a modified version of the Swales’ CaRS model.The corpus was constructed by randomly sampling 1,252 pairs abstracts in English and Latvian from a total of 1,986 pairs extracted from bachelor’s theses defended at Riga Technical University during 2023–2024. The theses span a wide range of scientific disciplines, including economics, computer science, civil engineering, mechanical engineering, chemistry, telecommunications, architecture, and others. The abstracts were extracted directly from the theses and include supplementary elements such as keyword lists, thesis length information, and bibliographic data. It should be noted that all abstracts were already publicly available via the Riga Technical University website (https://nda.rtu.lv/en/).

Software developed for dealing with this data: https://github.com/GintsJekabsons/AZ
DOI: 10.5281/zenodo.18288478
title: Argumentative Zoning of Student-Written Thesis Abstracts in Latvian and English

description: This corpus consists of AZ-annotated bachelor theses abstracts, each written in Latvian and English. The abstracts are annotated using a modified version of the Swales’ CaRS model.The corpus was constructed by randomly sampling 1,252 pairs abstracts in English and Latvian from a total of 1,986 pairs extracted from bachelor’s theses defended at Riga Technical University during 2023–2024. The theses span a wide range of scientific disciplines, including economics, computer science, civil engineering, mechanical engineering, chemistry, telecommunications, architecture, and others. The abstracts were extracted directly from the theses and include supplementary elements such as keyword lists, thesis length information, and bibliographic data. It should be noted that all abstracts were already publicly available via the Riga Technical University website (https://nda.rtu.lv/en/).

Software developed for dealing with this data: https://github.com/GintsJekabsons/AZ
DOI: 10.5878/003006
title: The National SOM Survey 2016
title: Den nationella SOM-undersökningen 2016
title: Riks-SOM 2016

description: In order to identify how the evolution of society affects Swedes’ attitudes and behaviour, the SOM Institute started its National SOM study in 1986. National SOM addresses three areas - society, opinion and mass media - and consists of several parallel surveys. All surveys include a large number of questions related to politics, society, media and social background, but their areas of focus differ. 
In 2016, six different questionnaires were distributed.

Purpose:
The main purpose is to establish time series that enable researchers to analyse how various changes in society affect people's attitudes and behaviour.

The SOM Institute also has an online tool for data analysis, where you can work with data from the national SOM surveys directly in your web browser. You can find it at https://som-institutet.se/dataanalys
description: För att kunna förstå hur samhällsutvecklingen påverkar svenska folkets attityder och beteenden, har SOM-institutet sedan 1986 genomfört Riks-SOM. Första mätningen skedde genom samverkan mellan ett par forskningsprojekt vid Göteborgs universitet, men intresset för resultaten blev stort och SOM-institutet etablerades med ansvar att göra en ny undersökning varje höst.
Den nationella SOM-undersökningen fokuserar på tre teman - samhälle, opinion och massmedier. Ett stort antal frågor om politik, samhälle och medier samt social bakgrund finns med i alla undersökningar, men frågeformulären har ibland något olika inriktningar. 
Undersökningen genomförs i samverkan med forskare från olika discipliner. I undersökningen deltar också externa parter, via särskilda forskningsprojekt. För 2016 gäller det exempelvis Arbetsmiljöverket, Energimyndigheten och Myndigheten för radio och tv.
2016 års undersökning utgjordes av sex parallella riksrepresentativa delundersökningar där datainsamlingen genomfördes parallellt enligt en gemensam fältplan. De sex formulären innehåller många gemensamma frågor, men undersökningen innehåller också ett stort antal frågor endast ställda i en eller två av de olika enkäterna. Datainsamlingen genomfördes parallellt och under identiska förhållanden.

För femte året i rad användes en mixed mode undersökningsdesign, vilket innebär att flera datainsamlingsmetoder används i en och samma frågeundersökning. I SOM-undersökningen samlas data primärt in via postenkäter, men respondenten ges i samband med den andra påminnelsen även möjlighet att fylla i en webbenkät.

Syfte:
Huvudsyftet är att etablera tidsserier som gör det möjligt att analysera hur olika samhällsförändringar påverkar människors attityder och beteenden.

SOM-institutet har även ett onlineverktyg för dataanalys, där du kan arbeta med data från de nationella SOM-undersökningarna direkt i din webbläsare. Du hittar det på https://som-institutet.se/dataanalys
DOI: 10.5878/003002
title: The National SOM Survey 2016
title: Den nationella SOM-undersökningen 2016
title: Riks-SOM 2016

description: In order to identify how the evolution of society affects Swedes’ attitudes and behaviour, the SOM Institute started its National SOM study in 1986. National SOM addresses three areas - society, opinion and mass media - and consists of several parallel surveys. All surveys include a large number of questions related to politics, society, media and social background, but their areas of focus differ. 
In 2016, six different questionnaires were distributed.

Purpose:
The main purpose is to establish time series that enable researchers to analyse how various changes in society affect people's attitudes and behaviour.

The SOM Institute also has an online tool for data analysis, where you can work with data from the national SOM surveys directly in your web browser. You can find it at https://som-institutet.se/dataanalys
description: För att kunna förstå hur samhällsutvecklingen påverkar svenska folkets attityder och beteenden, har SOM-institutet sedan 1986 genomfört Riks-SOM. Första mätningen skedde genom samverkan mellan ett par forskningsprojekt vid Göteborgs universitet, men intresset för resultaten blev stort och SOM-institutet etablerades med ansvar att göra en ny undersökning varje höst.
Den nationella SOM-undersökningen fokuserar på tre teman - samhälle, opinion och massmedier. Ett stort antal frågor om politik, samhälle och medier samt social bakgrund finns med i alla undersökningar, men frågeformulären har ibland något olika inriktningar. 
Undersökningen genomförs i samverkan med forskare från olika discipliner. I undersökningen deltar också externa parter, via särskilda forskningsprojekt. För 2016 gäller det exempelvis Arbetsmiljöverket, Energimyndigheten och Myndigheten för radio och tv.
2016 års undersökning utgjordes av sex parallella riksrepresentativa delundersökningar där datainsamlingen genomfördes parallellt enligt en gemensam fältplan. De sex formulären innehåller många gemensamma frågor, men undersökningen innehåller också ett stort antal frågor endast ställda i en eller två av de olika enkäterna. Datainsamlingen genomfördes parallellt och under identiska förhållanden.

För femte året i rad användes en mixed mode undersökningsdesign, vilket innebär att flera datainsamlingsmetoder används i en och samma frågeundersökning. I SOM-undersökningen samlas data primärt in via postenkäter, men respondenten ges i samband med den andra påminnelsen även möjlighet att fylla i en webbenkät.

Syfte:
Huvudsyftet är att etablera tidsserier som gör det möjligt att analysera hur olika samhällsförändringar påverkar människors attityder och beteenden.

SOM-institutet har även ett onlineverktyg för dataanalys, där du kan arbeta med data från de nationella SOM-undersökningarna direkt i din webbläsare. Du hittar det på https://som-institutet.se/dataanalys
DOI: 10.13140/rg.2.2.24045.04322
title: Moluscos ibéricos. Material docente: Arcopagia crassa
DOI: 10.4121/94c42619-4192-4c41-9d57-b9f764761605
title: Data underlying the MSc thesis: Design and Evaluation of Methods for Synthetic and Heritage-Like Fingerprints

description: # Synthetic Heritage-Like Clay Impression Dataset (SHCID)# Author: Y. Arda Kosker (University of Twente)# Date: January 2026<br>## 1. OverviewThis dataset contains 1,120 synthetic 3D fingerprint models generated to evaluate matching algorithms under varying conditions. The models simulate both ideal (Clean) and real-world/heritage (Realistic) surface properties.<br>## 2. Dataset Structure- Identities: 80 unique identity runs (run_1 to run_80).- Variations per Identity: 14 models.- Data Splits: - Clean: Baseline models with full fingerprints and continuous surfaces. - Realistic: Models with partial fingerprints and surface cracks.- File Format: .obj (Wavefront 3D).- Physical Scale: 21.1 mm (W) x 28.4 mm (H).<br>## 3. Technical Note on CompressionThe uncompressed dataset occupies approximately 40 GB of disk space. Please ensure sufficient disk space before extraction.<br>## 4. Code & GenerationThe provided Python scripts allow for the reproduction of the dataset:- main.py: The entry point for the generation pipeline.- MeshGenerator.py: Class definition managing the 3D construction logic.- myScripts/: Module containing mathematical foundations and procedural texture algorithms.<br>Requirements: Python 3.x, NumPy, OpenCV, Trimesh, Matplotlib.<br>## 5. License & CitationThis work is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).If you use this data, please cite:Kosker, Y. Arda. "Design and Evaluation of Methods for Synthetic and Heritage-Like Fingerprints." Master's Thesis, University of Twente, 2026.
DOI: 10.4121/94c42619-4192-4c41-9d57-b9f764761605.v1
title: Data underlying the MSc thesis: Design and Evaluation of Methods for Synthetic and Heritage-Like Fingerprints

description: # Synthetic Heritage-Like Clay Impression Dataset (SHCID)# Author: Y. Arda Kosker (University of Twente)# Date: January 2026<br>## 1. OverviewThis dataset contains 1,120 synthetic 3D fingerprint models generated to evaluate matching algorithms under varying conditions. The models simulate both ideal (Clean) and real-world/heritage (Realistic) surface properties.<br>## 2. Dataset Structure- Identities: 80 unique identity runs (run_1 to run_80).- Variations per Identity: 14 models.- Data Splits: - Clean: Baseline models with full fingerprints and continuous surfaces. - Realistic: Models with partial fingerprints and surface cracks.- File Format: .obj (Wavefront 3D).- Physical Scale: 21.1 mm (W) x 28.4 mm (H).<br>## 3. Technical Note on CompressionThe uncompressed dataset occupies approximately 40 GB of disk space. Please ensure sufficient disk space before extraction.<br>## 4. Code & GenerationThe provided Python scripts allow for the reproduction of the dataset:- main.py: The entry point for the generation pipeline.- MeshGenerator.py: Class definition managing the 3D construction logic.- myScripts/: Module containing mathematical foundations and procedural texture algorithms.<br>Requirements: Python 3.x, NumPy, OpenCV, Trimesh, Matplotlib.<br>## 5. License & CitationThis work is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).If you use this data, please cite:Kosker, Y. Arda. "Design and Evaluation of Methods for Synthetic and Heritage-Like Fingerprints." Master's Thesis, University of Twente, 2026.
DOI: 10.17037/data.00004950
title: Codelists for study on fluoroquinolones and peripheral neuropathy

description: Codelists for outcome and covariates for study on fluoroquinolones and peripheral neuropathy in CPRD GOLD and Aurum.
DOI: 10.5281/zenodo.13989530
title: NGFS Climate Scenarios Data Set

description: Notice to users of NGFS long-term climate scenarios

The NGFS informs users that the academic paper underpinning the physical risk estimates in Phase V of its long-term scenarios, Kotz et al. (2024), has received critiques in a post-publication review at Nature. The authors have revised their analysis, with limited impacts on results. The updated paper still has to undergo peer-review.

The NGFS closely monitors the academic process and will incorporate any necessary updates in future iterations of its long-term scenarios.

Users are reminded that neither the NGFS, nor its member institutions, nor any person acting on their behalf, is responsible or liable for any reliance on, or for any use of the NGFS scenarios and/or supplementary documentation. This also applies to the use of the data produced under the scenarios – see section 5 in https://data.ene.iiasa.ac.at/ngfs/#/license. Thus, while the NGFS climate scenarios are certainly a helpful tool, they do not alleviate the responsibility of users, including banks and other (financial) organisations, to design and implement their own risk management frameworks.

Download information

Please do not request a data download here.

Rather, the data is available for download at the NGFS Scenario Explorer under this download link: https://data.ece.iiasa.ac.at/ngfs/#/downloads. In order to download click on Guest login. You will be forwarded to the downloads page. At the bottom of the downloads page you can download the data.

The license permits use of the scenario ensemble for scientific research and commercial use, but restricts redistribution of substantial parts of the data. Please refer to the FAQ and legal code for more information.

About NGFS

The Network for Greening the Financial System (NGFS) is a group of 127 central banks and supervisors and 20 observers committed to sharing best practices, contributing to the development of climate– and environment–related risk management in the financial sector and mobilising mainstream finance to support the transition toward a sustainable economy.

This Scenario Explorer is a web-based user interface for NGFS Scenarios. This provides intuitive visualizations & display of time series data and download of the data in multiple formats.

NGFS scenarios were produced by NGFS Workstream on Scenarios Design and Analysis in partnership with an academic consortium from the Potsdam Institute for Climate Impact Research (PIK), International Institute for Applied Systems Analysis (IIASA), University of Maryland (UMD), Climate Analytics (CA), and the National Institute of Economic and Social Research (NIESR). This work was made possible by grants from Bloomberg Philanthropies and ClimateWorks Foundation.

The bespoke scenarios developed in Phase 4 of this project are generated by state-of-the-art well-established integrated assessment models (IAMs), namely GCAM, MESSAGE-GLOBIOM and REMIND-MAgPIE, as well as the NiGEM macroeconomic model.
description: This work was made possible by grants from Bloomberg Philanthropies and ClimateWorks Foundation.
DOI: 10.5281/zenodo.5782903
title: NGFS Climate Scenarios Data Set

description: Notice to users of NGFS long-term climate scenarios

The NGFS informs users that the academic paper underpinning the physical risk estimates in Phase V of its long-term scenarios, Kotz et al. (2024), has received critiques in a post-publication review at Nature. The authors have revised their analysis, with limited impacts on results. The updated paper still has to undergo peer-review.

The NGFS closely monitors the academic process and will incorporate any necessary updates in future iterations of its long-term scenarios.

Users are reminded that neither the NGFS, nor its member institutions, nor any person acting on their behalf, is responsible or liable for any reliance on, or for any use of the NGFS scenarios and/or supplementary documentation. This also applies to the use of the data produced under the scenarios – see section 5 in https://data.ene.iiasa.ac.at/ngfs/#/license. Thus, while the NGFS climate scenarios are certainly a helpful tool, they do not alleviate the responsibility of users, including banks and other (financial) organisations, to design and implement their own risk management frameworks.

Download information

Please do not request a data download here.

Rather, the data is available for download at the NGFS Scenario Explorer under this download link: https://data.ece.iiasa.ac.at/ngfs/#/downloads. In order to download click on Guest login. You will be forwarded to the downloads page. At the bottom of the downloads page you can download the data.

The license permits use of the scenario ensemble for scientific research and commercial use, but restricts redistribution of substantial parts of the data. Please refer to the FAQ and legal code for more information.

About NGFS

The Network for Greening the Financial System (NGFS) is a group of 127 central banks and supervisors and 20 observers committed to sharing best practices, contributing to the development of climate– and environment–related risk management in the financial sector and mobilising mainstream finance to support the transition toward a sustainable economy.

This Scenario Explorer is a web-based user interface for NGFS Scenarios. This provides intuitive visualizations & display of time series data and download of the data in multiple formats.

NGFS scenarios were produced by NGFS Workstream on Scenarios Design and Analysis in partnership with an academic consortium from the Potsdam Institute for Climate Impact Research (PIK), International Institute for Applied Systems Analysis (IIASA), University of Maryland (UMD), Climate Analytics (CA), and the National Institute of Economic and Social Research (NIESR). This work was made possible by grants from Bloomberg Philanthropies and ClimateWorks Foundation.

The bespoke scenarios developed in Phase 4 of this project are generated by state-of-the-art well-established integrated assessment models (IAMs), namely GCAM, MESSAGE-GLOBIOM and REMIND-MAgPIE, as well as the NiGEM macroeconomic model.
description: This work was made possible by grants from Bloomberg Philanthropies and ClimateWorks Foundation.
DOI: 10.17037/data.00004923
title: Codelists for: "Infections and risk of mental health conditions: a series of population-based matched cohort studies using linked electronic health records"

description: A set of 92 codelists associated with three studies: (1) Infections and risk of common mental health disorders: a population-based matched cohort study using linked electronic health records; (2) Infections and risk of severe mental illness: a population-based matched cohort study, and (3) Infections and suicide and self-harm: a population-based matched cohort study.
DOI: 10.17037/data.00004848
title: Data for: "Optimizing Peer-Led Health Interventions: A Social Network Analysis Approach for Identifying Influential Fishermen in Malawi"

description: Data collected as part of a social network survey conducted in Mangochi, Malawi. Participants were comprised of fishermen aged 18 and above that belonged to two landing sites. Data was collected over two rounds, baseline and follow-up. The baseline survey captured demographic and health-related variables, such as age, marital status, educational attainment, circumcision status, HIV testing history, and self-reported symptoms and treatment of Schistosomiasis. The follow-up round employed network interviews to assess participants’ social interactions. These interviews documented the nature and frequency of interpersonal contact, topics of discussion (Schistosomiasis, sexual relationships, HIV prevention), and the types of advice and support provided (health advice, emotional, financial, and/or social support).
DOI: 10.17037/data.00004916
title: Data for: "The epidemiology and clinical features of HIV and Trypanosoma cruzi (Chagas disease) co-infection: A systematic review and individual patient data analysis"

description: Supporting files for a systematic review entitled "The epidemiology and clinical features of HIV and Trypanosoma cruzi (Chagas disease) co-infection: A systematic review and individual patient data analysis", published in PLOS Neglected Tropical Diseases. These include a dataset containing anonymized individual-level patient information extracted from publications included in the review, the data extraction tool produced for the review, and supporting guidance document. Individual-level patient information recorded in the dataset is non-identifiable and has been obtained using public information. The protocol for the systematic review was registered in advance on PROSPERO and is published online: https://www.crd.york.ac.uk/PROSPERO/view/CRD42020216125. Ethical approval was not required for this systematic review.