cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3rudew
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Plantago rigida",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 105 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001774-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ag4nbj
title: Occurrence Download

description: A dataset containing 1795192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-20 -38,55 -38,55 38,-20 38,-20 -38))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pycnonotidae"
 ]
}

 The dataset includes 1795192 records from 237 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001736-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/dans-zpv-6eqb
title: Getuigen Verhalen, Vrouwen van de CPN, interview CPN05
title: Vrouwen van de CPN, interview CPN05

description: &lt;p&gt;Oral history interview met een vrouw, geboren in 1914 en afkomstig uit een christelijk middenstandsgezin. In 1944 wordt ze actief bij de Communistische Partij Nederland (CPN), naast de zorg voor haar negen kinderen. Ze brengt De Waarheid rond en werkt mee aan de verspreiding van distributiestamkaarten.&lt;/p&gt;&lt;p&gt;CPN05 doet mee aan de schoonmakersstaking (vrouwenstaking) van 11 januari-7 maart 1949. Deze staking wordt gesteund door de Eenheid Vakcentrale (EVC). Door haar echtscheiding mag CPN05 geen lid meer zijn van de partij. Ze is maar kort lid geweest, maar voelt nog steeds veel sympathie voor de CPN. Ze blijft communistische kranten verspreiden en bijeenkomsten bezoeken. Ze doet mee aan demonstraties, geldinzamelingsacties en bezoekt verschillende evenementen van de CPN. Ook van haar familie heeft ze negatieve reacties gekregen op haar scheiding.&lt;/p&gt;&lt;p&gt;CPN05 heeft veel verschillende banen gehad. Enthousiast is ze over het begeleiden van reizen naar Oost-Europa en de Sovjet-Unie voor de Vereniging Culturele Uitwisseling (VCU). Later sluit ze zich aan bij de Socialistische Partij (SP).&lt;br&gt;&lt;br&gt;De aanleiding voor dit interview was het Aletta project om levensverhalen van vrouwen vast te leggen die (actief) lid waren van de Communistische Partij Nederland (CPN) en tenminste 14 waren toen de Tweede Wereldoorlog aanving.&lt;/p&gt;
description: Getuigen Verhalen, Vrouwen van de CPN
description: Nadat u uw toestemmingsverzoek hebt ingediend, vult u het “Form for permission to consult archives with restricted access” in en stuurt u het ingevulde formulier naar oralhistory@atria.nl. Verwijder bestanden na gebruik van uw persoonlijke apparaten. Het uploaden van dit materiaal naar een online schijf of clouddienst is verboden om de verspreiding van persoonsgegevens te voorkomen, in overeenstemming met de AVG. 

Once you have submitted your permission request, please complete the “Form for permission to consult archives with restricted access” and send the completed form to oralhistory@atria.nl. Please remove files from personal devices following use. Uploading of this material to any online drive or cloud service is prohibited, to prevent the distribution of personal data, adhering to the GDPR.
DOI: 10.15468/dl.t8sjcg
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.29_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Laudakia sacra"
 ]
}

 The dataset includes 18 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001776-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18800195
title: ACTIVITIES OF PRIVATE SCHOOLS IN 1991-2021 IN THE EXAMPLE OF ANDIJAN REGION

description: This article scientifically analyzes the stages of formation of the private sector in the public education system of the Andijan region in 1991 to 2021. The article reveals the socio-economic factors that triggered the emergence of private schools, the improvement of the legal framework, and the impact of the “new era” reforms after 2017 on the quality of regional education. Based on archival materials, statistical collections, and normative-legal acts, the dynamics, problems, and prospects of private schools in the region are studied.
DOI: 10.5281/zenodo.18800194
title: ACTIVITIES OF PRIVATE SCHOOLS IN 1991-2021 IN THE EXAMPLE OF ANDIJAN REGION

description: This article scientifically analyzes the stages of formation of the private sector in the public education system of the Andijan region in 1991 to 2021. The article reveals the socio-economic factors that triggered the emergence of private schools, the improvement of the legal framework, and the impact of the “new era” reforms after 2017 on the quality of regional education. Based on archival materials, statistical collections, and normative-legal acts, the dynamics, problems, and prospects of private schools in the region are studied.
DOI: 10.5281/zenodo.18800032
title: Monitoring Data from Pilot Site GW1 in the southern Vietnamese Mekong Delta

description: This dataset includes the following data:



groundwater head data in the wells GW1a, GW1b, GW1c and GW1d, screened in 99m, 148m, 254m and 32m depth.

monitoring data of a meteorological monitoring station.

monitoring data of a multi-depth soilmoisture probe.

monitoring data of the multi-depth sliding joint extensometer drilling ("land subsidence observatory"), data given in mm distance between extensometer and casing magnet ring. 

monitoring data from a geodetic levelling campaign, given in mm referenced to initial campaign.
DOI: 10.5281/zenodo.18800031
title: Monitoring Data from Pilot Site GW1 in the southern Vietnamese Mekong Delta

description: This dataset includes the following data:



groundwater head data in the wells GW1a, GW1b, GW1c and GW1d, screened in 99m, 148m, 254m and 32m depth.

monitoring data of a meteorological monitoring station.

monitoring data of a multi-depth soilmoisture probe.

monitoring data of the multi-depth sliding joint extensometer drilling ("land subsidence observatory"), data given in mm distance between extensometer and casing magnet ring. 

monitoring data from a geodetic levelling campaign, given in mm referenced to initial campaign.
DOI: 10.23642/usn.30702092
title: Supplementary code and curated data for 1,863 experimental gasification studies (laboratory to commercial scale)

description: DATASET MIGRATED FROM FIGSHARE: &lt;p dir="ltr"&gt;This dataset provides a validated, literature-derived compilation of 1,863 experimental gasification studies spanning laboratory, pilot, demonstration, and commercial scale. Each record is linked to its underlying publication via a unique record_id and includes harmonised bibliographic metadata together with a curated set of technical descriptors extracted from titles and abstracts.&lt;/p&gt;&lt;p dir="ltr"&gt;The thematic variables cover two core fields: (i) reactor and scale descriptors (gasification technology, gasification scale, capacity, feedstock, gasifying agent, particle size, temperature range), and (ii) key operating and materials parameters (feed rate/capacity, pressure range, equivalence ratio, catalyst use and type, bed material), along with a manually assigned study-type classification. All labels were first generated via a GPT-4o-mini–based extraction and validation pipeline and then subjected to structured manual review and correction. The dataset is released in machine-readable Excel/CSV format, accompanied by the full extraction and validation code, enabling transparent reuse in technology mapping, benchmarking, techno-economic and LCA studies, and evidence-based scale-up analysis of gasification technologies.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;
description: Python, 3
DOI: 10.21334/npolar.2025.b5098337
title: Seawater chemistry and tracers from the Fram Strait Arctic Outflow Observatory collected in September 2009
DOI: 10.15468/dl.snaqwf
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dieurostus dussumieri"
 ]
}

 The dataset includes 29 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001777-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48366/r1586634
title: Nutritional Composition of Condrès

description: This comparison describes the nutritional composition of Condrès, a commonly consumed food in Cameroon. It presents the nutritional composition in terms of Iron, Zinc, Copper, Magnesium, Phytate. A visualization is also provided.
DOI: 10.34616/kfzocc
title: Silver(I) Coordination Polymers: From Mechanosynthesis and Structural Features to Bioactivity - research data

description: The data set includes the results of X-ray, IR, PXRD, FIA-ESI-MS experiments.
DOI: 10.71683/a896657d-870a-4695-808f-2eec69be06d9
title: S-124 - Avisos à Navegação
DOI: 10.5281/zenodo.18656414
title: Datasets for "The mantis shrimp eye imaged in 3D using 4th generation synchrotron multiscale phase contrast tomography"

description: Tomography data sets for the publication "The mantis shrimp eye imaged in 3D using 4th generation synchrotron multiscale phase contrast tomography"
DOI: 10.5281/zenodo.18800245
title: INTERACTIVE TEACHING METHODS AND THEIR ESSENCE AND THEIR APPLICATION IN CHEMISTRY EDUCATION

description: In the modern education system, improving teaching methods and ensuring students' active participation in the learning process are urgent issues. Interactive teaching methods play an important role in this regard. Through them, students not only acquire knowledge, but also develop skills such as independent thinking, problem solving, and teamwork.
DOI: 10.5281/zenodo.18656413
title: Datasets for "The mantis shrimp eye imaged in 3D using 4th generation synchrotron multiscale phase contrast tomography"

description: Tomography data sets for the publication "The mantis shrimp eye imaged in 3D using 4th generation synchrotron multiscale phase contrast tomography"
DOI: 10.5281/zenodo.18800244
title: INTERACTIVE TEACHING METHODS AND THEIR ESSENCE AND THEIR APPLICATION IN CHEMISTRY EDUCATION

description: In the modern education system, improving teaching methods and ensuring students' active participation in the learning process are urgent issues. Interactive teaching methods play an important role in this regard. Through them, students not only acquire knowledge, but also develop skills such as independent thinking, problem solving, and teamwork.
DOI: 10.15468/dl.a7x9yf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Psenes sio"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001778-260226173443078/datasets/export for details.
DOI: 10.15468/dl.6szvbd
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Plantago sericea",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 125 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001779-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18684658
title: Integration of the circulating miRNome and clinical information to predict 90-day mortality in elderly COVID-19 subphenotypes

description: Elderly patients with COVID-19 exhibit significant elevated mortality. Our research seeks to assess whether microRNA (miRNA) profiling provides prognostic information in this population. Multicenter study including hospitalized COVID-19 patients aged ≥65 years (n=763). Subphenotypes were identified using sociodemographic and clinical data via elbow criterion-based clustering. Plasma miRNome was profiled using qPCR. VSURF was applied to develop clinical and miRNA-based models for 90-day mortality prediction. Functional analyses were performed. Mean age was 79 years; 44.0% were women. The 90-day mortality rate was 26.7%. Thirteen candidate miRNAs were identified in the screening phase (n=39), but none were associated with mortality in the overall cohort (n=340). Three subphenotypes (eCOVID-1, -2 and -3) with distinct clinical features and mortality risks were identified. Differential miRNA expression patterns and mechanisms were found across subphenotypes. In eCOVID-2, miR-106b-3p was the strongest predictor. Metabolic and immune processes were linked to the fatal outcome in eCOVID-2. Plasma miRNAs provide complementary prognostic information when combined with clinical variables in models for elderly COVID-19 subphenotypes.
DOI: 10.5281/zenodo.18800160
title: Where Is the Automation Discourse Heading? Exploring Evolution and Trends of RPA Research Through Topic Modeling

description: This repository provides a comprehensive resource for bibliometric and topic modeling analyses of Robotic Process Automation (RPA) research. It includes the raw and processed data, as well as the analytical scripts used to extract and validate the 100 latent research topics.

1. Bibliometric and Topic Modeling Data

The dataset consists of two primary Excel files: data.xlsx and RPA_LDA_RESULTS_(k=100).xlsx, alongside text files for preprocessing.





data.xlsx: Includes multiple sheets containing Scopus bibliographic data, topic distributions, and derived metrics, enabling detailed exploration of thematic structures and trends.





Data from Scopus: Contains bibliographic metadata exported from Scopus, designed for use in Latent Dirichlet Allocation (LDA) analyses. Key fields include authors, abstracts, publication years, and other relevant publication information. Each paper is annotated with manually or algorithmically assigned categories and topics.




Figures 8A and 9A: Provides a detailed table of all identified topics, including associated terms, total paper counts, and citation counts per topic.




Calculation of Combined Score: Topics are ranked according to a calculated combined score, which reflects their relative importance or influence within the dataset (aggregating research interest and impact).






RPA_LDA_RESULTS_(k=100).xlsx: Contains the results of the LDA analysis with 100 topics, organized into two sheets:





top_100_terms_in_each_topic: Lists the top 100 most representative terms for each topic, facilitating interpretation of thematic content.




probabilities_with_each_topic: Provides the topic probabilities for all 3,275 documents across the 100 topics, enabling exploration of topic distributions at the document level.






Preprocessing Files: Elimination terms (extended stopwords) for the LDA analysis are provided in stopwords.txt, and general words are listed in general_words.txt.



2. Analytical Scripts and Validation Datasets

The analytical code is separated into dedicated repositories, each containing its own README.md with detailed execution instructions.





LDA Analysis R Scripts: This repository Supplementary files R.zip contains the R scripts used for the end-to-end Latent Dirichlet Allocation (LDA) topic modeling pipeline. It includes the code for the systematic data preprocessing, statistical determination of the optimal number of topics, model training (Gibbs sampling), and posterior inference for new documents.




LLM Validation & Cohen’s Kappa Scripts: This repository contains CohensKappaLLMValidation.zip the scripts and the dataset used to validate the robustness of the identified topics via Large Language Models (LLMs). It includes the zero-shot classification prompts provided to the LLMs (GPT-4o, Mistral Large, and Claude Haiku), the resulting LLM labeling dataset, and the scripts used to calculate the Cohen’s kappa (κ) agreement coefficients between the probabilistic LDA allocations and the LLM assignments.
DOI: 10.5281/zenodo.18684657
title: Integration of the circulating miRNome and clinical information to predict 90-day mortality in elderly COVID-19 subphenotypes

description: Elderly patients with COVID-19 exhibit significant elevated mortality. Our research seeks to assess whether microRNA (miRNA) profiling provides prognostic information in this population. Multicenter study including hospitalized COVID-19 patients aged ≥65 years (n=763). Subphenotypes were identified using sociodemographic and clinical data via elbow criterion-based clustering. Plasma miRNome was profiled using qPCR. VSURF was applied to develop clinical and miRNA-based models for 90-day mortality prediction. Functional analyses were performed. Mean age was 79 years; 44.0% were women. The 90-day mortality rate was 26.7%. Thirteen candidate miRNAs were identified in the screening phase (n=39), but none were associated with mortality in the overall cohort (n=340). Three subphenotypes (eCOVID-1, -2 and -3) with distinct clinical features and mortality risks were identified. Differential miRNA expression patterns and mechanisms were found across subphenotypes. In eCOVID-2, miR-106b-3p was the strongest predictor. Metabolic and immune processes were linked to the fatal outcome in eCOVID-2. Plasma miRNAs provide complementary prognostic information when combined with clinical variables in models for elderly COVID-19 subphenotypes.
DOI: 10.5281/zenodo.17385443
title: Where Is the Automation Discourse Heading? Exploring Evolution and Trends of RPA Research Through Topic Modeling

description: This repository provides a comprehensive resource for bibliometric and topic modeling analyses of Robotic Process Automation (RPA) research. It includes the raw and processed data, as well as the analytical scripts used to extract and validate the 100 latent research topics.

1. Bibliometric and Topic Modeling Data

The dataset consists of two primary Excel files: data.xlsx and RPA_LDA_RESULTS_(k=100).xlsx, alongside text files for preprocessing.





data.xlsx: Includes multiple sheets containing Scopus bibliographic data, topic distributions, and derived metrics, enabling detailed exploration of thematic structures and trends.





Data from Scopus: Contains bibliographic metadata exported from Scopus, designed for use in Latent Dirichlet Allocation (LDA) analyses. Key fields include authors, abstracts, publication years, and other relevant publication information. Each paper is annotated with manually or algorithmically assigned categories and topics.




Figures 8A and 9A: Provides a detailed table of all identified topics, including associated terms, total paper counts, and citation counts per topic.




Calculation of Combined Score: Topics are ranked according to a calculated combined score, which reflects their relative importance or influence within the dataset (aggregating research interest and impact).






RPA_LDA_RESULTS_(k=100).xlsx: Contains the results of the LDA analysis with 100 topics, organized into two sheets:





top_100_terms_in_each_topic: Lists the top 100 most representative terms for each topic, facilitating interpretation of thematic content.




probabilities_with_each_topic: Provides the topic probabilities for all 3,275 documents across the 100 topics, enabling exploration of topic distributions at the document level.






Preprocessing Files: Elimination terms (extended stopwords) for the LDA analysis are provided in stopwords.txt, and general words are listed in general_words.txt.



2. Analytical Scripts and Validation Datasets

The analytical code is separated into dedicated repositories, each containing its own README.md with detailed execution instructions.





LDA Analysis R Scripts: This repository Supplementary files R.zip contains the R scripts used for the end-to-end Latent Dirichlet Allocation (LDA) topic modeling pipeline. It includes the code for the systematic data preprocessing, statistical determination of the optimal number of topics, model training (Gibbs sampling), and posterior inference for new documents.




LLM Validation & Cohen’s Kappa Scripts: This repository contains CohensKappaLLMValidation.zip the scripts and the dataset used to validate the robustness of the identified topics via Large Language Models (LLMs). It includes the zero-shot classification prompts provided to the LLMs (GPT-4o, Mistral Large, and Claude Haiku), the resulting LLM labeling dataset, and the scripts used to calculate the Cohen’s kappa (κ) agreement coefficients between the probabilistic LDA allocations and the LLM assignments.