cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18599082
title: "BOMBYX MORI" BIOPOLIMERINI TO'QIMACHILIK MATERIALLARINI BO'YASH JARAYONLARIDA QO'LLASH IMKONIYATLARI O'RGANISH

description: Mazkur ilmiy ishda paxta tolali mato namunalarini faol bo'yovchi moddalar bilan bo'yash jarayonlarida bo’yashdan oldin tolani modifikatsiyalash maqsadida modifikator sifatida ”Bombyx mori” biopolimerini qo'llash imkoniyatlari o'rganilgan. Natijalarda intensivlik va to'yinganlikning yuqori qiymatlariga ega bo'lgan ranglarni olish mumkinligi aniqlangan. Spektrokolorimetrik va fizik-kimyoviy tahlillar natijasi bo'yicha biopolimer ishtirokida sellyuloza tolali matolarni faol bo'yovchi moddalar bilan bo'yash samaradorligini oshirish imkoniyati ko'rsatilgan. Tadqiqotlar bo'yicha bo'yashdan oldin 2%li biopolimer bilan ishlov berib, rang intensivligini 63%-ga oshirish va bo'yovchi modda sarfini kamaytirish imkoniyati ko'rsatilgan. Fizik-kimyoviy va fizik-mexanik tahlillar asosida tola, bo'yovchi modda va biopolimerning o'zaro molekulalararo va kimyoviy bog'lanishlarni hosil qilishi mumkinligi xulosa qilingan.
DOI: 10.5281/zenodo.18599081
title: "BOMBYX MORI" BIOPOLIMERINI TO'QIMACHILIK MATERIALLARINI BO'YASH JARAYONLARIDA QO'LLASH IMKONIYATLARI O'RGANISH

description: Mazkur ilmiy ishda paxta tolali mato namunalarini faol bo'yovchi moddalar bilan bo'yash jarayonlarida bo’yashdan oldin tolani modifikatsiyalash maqsadida modifikator sifatida ”Bombyx mori” biopolimerini qo'llash imkoniyatlari o'rganilgan. Natijalarda intensivlik va to'yinganlikning yuqori qiymatlariga ega bo'lgan ranglarni olish mumkinligi aniqlangan. Spektrokolorimetrik va fizik-kimyoviy tahlillar natijasi bo'yicha biopolimer ishtirokida sellyuloza tolali matolarni faol bo'yovchi moddalar bilan bo'yash samaradorligini oshirish imkoniyati ko'rsatilgan. Tadqiqotlar bo'yicha bo'yashdan oldin 2%li biopolimer bilan ishlov berib, rang intensivligini 63%-ga oshirish va bo'yovchi modda sarfini kamaytirish imkoniyati ko'rsatilgan. Fizik-kimyoviy va fizik-mexanik tahlillar asosida tola, bo'yovchi modda va biopolimerning o'zaro molekulalararo va kimyoviy bog'lanishlarni hosil qilishi mumkinligi xulosa qilingan.
DOI: 10.15468/dl.st3jrb
title: Occurrence Download

description: A dataset containing 1388 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 {
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Fossil, Material sample)",
 "TaxonKey is one of (Blarina brevicauda [GBIF Backbone Taxonomy])",
 "Country is one of (United States of America)",
 "LifeStage is one of (Adult)"
 ]
 }
 ]
}

 The dataset includes 1388 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005953-260208012135463/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.31242118
title: Instances of the article: "Data-driven risk-based maximal covering location problem with mobile units for healthcare emergency response"

description: <br>Equitable access to healthcare during emergencies is critical yet challenging due to geographic and infrastructure constraints, particularly in developing nations. This study develops a novel two-phase hierarchical optimization model integrating data-driven risk assessment with facility location decisions to strategically deploy fixed hospitals and mobile healthcare units during health crises. The model combines multi-criteria and lexicographic optimization: Phase 1 identifies globally efficient resource configurations through weighted multi-criteria optimization considering coverage, accessibility, and redundancy; Phase 2 refines allocations by reallocating mobile units to maximize risk-weighted access prioritizing vulnerable populations. Municipal-level risk indicators are derived from vulnerability factors including comorbidities, demographics, and population density using machine learning techniques applied to individual COVID-19 patient records. Applied to Mexico (32 states, 2,478 municipalities, 126 million population, 638 hospitals), the model achieves high risk coverage in short computational time. Comparative analysis demonstrates that national-level coordination outperforms state-level independent planning in risk coverage. The approach demonstrates adaptability to diverse health emergencies beyond COVID-19, including seasonal outbreaks, epidemics, and future pandemics.
DOI: 10.6084/m9.figshare.31242118.v1
title: Instances of the article: "Data-driven risk-based maximal covering location problem with mobile units for healthcare emergency response"

description: <br>Equitable access to healthcare during emergencies is critical yet challenging due to geographic and infrastructure constraints, particularly in developing nations. This study develops a novel two-phase hierarchical optimization model integrating data-driven risk assessment with facility location decisions to strategically deploy fixed hospitals and mobile healthcare units during health crises. The model combines multi-criteria and lexicographic optimization: Phase 1 identifies globally efficient resource configurations through weighted multi-criteria optimization considering coverage, accessibility, and redundancy; Phase 2 refines allocations by reallocating mobile units to maximize risk-weighted access prioritizing vulnerable populations. Municipal-level risk indicators are derived from vulnerability factors including comorbidities, demographics, and population density using machine learning techniques applied to individual COVID-19 patient records. Applied to Mexico (32 states, 2,478 municipalities, 126 million population, 638 hospitals), the model achieves high risk coverage in short computational time. Comparative analysis demonstrates that national-level coordination outperforms state-level independent planning in risk coverage. The approach demonstrates adaptability to diverse health emergencies beyond COVID-19, including seasonal outbreaks, epidemics, and future pandemics.
DOI: 10.15468/dl.m4wcxh
title: Occurrence Download

description: A dataset containing 591278 records in GBIF matching the query:
SELECT DISTINCT
 datasetkey,
 projectid,
 programmeacronym
FROM
 occurrence

 The dataset's 591278 records were derived from 88779 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005938-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mbm24u
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "GadmGid is ESP.8_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Diplotaxis muralis"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005954-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18598869
title: Data and outputs for: Consolidation of shared visions for sustainability scenarios through deliberative multicriteria evaluation in Ecuadorian cocoa farming communities

description: This record contains the datasets and software outputs underlying analyses in the manuscript "Consolidation of shared visions for sustainability scenarios through deliberative multicriteria evaluation in Ecuadorian cocoa farming communities" on deliberative multi-criteria evaluation (DMCE) of sustainability scenarios with cocoa farming communities in Ecuador. The record includes (i) group-level DMCE criteria weights (pre- and post-deliberation), (ii) scenario development materials including cross-impact balance (CIB) matrices from farmers and expert evaluators and associated CIB software outputs, and (iii) ValueDecisions software outputs for value decision analysis.
DOI: 10.5281/zenodo.18598868
title: Data and outputs for: Consolidation of shared visions for sustainability scenarios through deliberative multicriteria evaluation in Ecuadorian cocoa farming communities

description: This record contains the datasets and software outputs underlying analyses in the manuscript "Consolidation of shared visions for sustainability scenarios through deliberative multicriteria evaluation in Ecuadorian cocoa farming communities" on deliberative multi-criteria evaluation (DMCE) of sustainability scenarios with cocoa farming communities in Ecuador. The record includes (i) group-level DMCE criteria weights (pre- and post-deliberation), (ii) scenario development materials including cross-impact balance (CIB) matrices from farmers and expert evaluators and associated CIB software outputs, and (iii) ValueDecisions software outputs for value decision analysis.
DOI: 10.15468/dl.5948z8
title: Occurrence Download

description: A dataset containing 20862 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Mikania micrantha"
 ]
}

 The dataset includes 20862 records from 444 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005956-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18599102
title: PAXTA TOLALI MATOLARNI BO'YASH JARAYONIGA BIOPOLIMERNING XOSSALARIGA BOG'LIQLIGI

description: Quyidagi ilmiy ishda paxta tolali mato namunalarini aktiv bo’yovchi moddalar bilan bo’yash jarayonlarida modifikator sifatida “Bombxy mory” biopolimerini qo’llash imkoniyati o’rganilgan. Bo’yash jarayoniga biopolymer xitozanning xossalari, jumladan molekulyar massasi, polidisperslik indeksi va qovushqoqlikning bog’liqligi o‘rganilgan. Tadqiqot ishlari uchun past 66*103, o‘rta 198*103 va yuqori 274*103 kDa molekulyar og’irlikdagi turli xossalarga ega xitozan polimerlaridan foydalanildi. Natijalarda rang intensivligi, havo o‘tkazuvchanlik va qattiqlikni hisobga olib bo’yash jarayoni uchun muofiq biopolimer etib o‘rta molekulyar og‘irlikdagi xitozan polimeri tanlandi.
DOI: 10.5281/zenodo.18599103
title: PAXTA TOLALI MATOLARNI BO'YASH JARAYONIGA BIOPOLIMERNING XOSSALARIGA BOG'LIQLIGI

description: Quyidagi ilmiy ishda paxta tolali mato namunalarini aktiv bo’yovchi moddalar bilan bo’yash jarayonlarida modifikator sifatida “Bombxy mory” biopolimerini qo’llash imkoniyati o’rganilgan. Bo’yash jarayoniga biopolymer xitozanning xossalari, jumladan molekulyar massasi, polidisperslik indeksi va qovushqoqlikning bog’liqligi o‘rganilgan. Tadqiqot ishlari uchun past 66*103, o‘rta 198*103 va yuqori 274*103 kDa molekulyar og’irlikdagi turli xossalarga ega xitozan polimerlaridan foydalanildi. Natijalarda rang intensivligi, havo o‘tkazuvchanlik va qattiqlikni hisobga olib bo’yash jarayoni uchun muofiq biopolimer etib o‘rta molekulyar og‘irlikdagi xitozan polimeri tanlandi.
DOI: 10.15468/dl.3j48rh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Morone americana",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Specimen, Machine Observation)",
 "Year is greater than or equal to 1980",
 "Geometry POLYGON((-25 35, 50 35, 50 75, -25 75, -25 35))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005957-260208012135463/datasets/export for details.
DOI: 10.5281/zenodo.14514163
title: CREATTIVE3D multimodal dataset of user behavior in virtual reality

description: In the context of the ANR CREATTIVE3D project, we join the expertise of computer science, neuroscience, and clinical practitioners, with the aim to analyze the impact that a simulated low-vision condition has on user navigation behavior in complex road crossing scenes: a common daily situation where the difficulty to access and process visual information (e.g., traffic lights, approaching cars) in a timely fashion can lead to serious consequences on a person's safety and well-being. As a secondary objective, we also aim to investigate the potential role virtual reality could play in rehabilitation and training protocols for low-vision patients.

This dataset contains the data as part of the study described in An Integrated Framework for Understanding Multimodal Embodied Experiences in Interactive Virtual Reality.

The dataset is metadata for the pre-print Exploring, walking, and interacting in virtual reality with simulated low vision: a living contextual dataset

To use this dataset, please cite:



@article{wu2025exploring,
  title={Exploring, walking, and interacting in virtual reality with simulated low vision: a living contextual dataset},
  author={Wu, Hui-Yin and Robert, Florent and Gallo, Franz Franco and Pirkovets, Kateryna and Qu{\'e}r{\'e}, Cl{\'e}ment and Delachambre, Johanna and Ramano{\"e}l, Stephen and Gros, Auriane and Winckler, Marco and Sassatelli, Lucile and others},
  journal={Scientific Data},
  volume={12},
  number={1},
  pages={330},
  year={2025},
  publisher={Nature Publishing Group UK London}
}@inproceedings{robert2023integrated,
  title={An integrated framework for understanding multimodal embodied experiences in interactive virtual reality},
  author={Robert, Florent and Wu, Hui-Yin and Sassatelli, Lucile and Ramanoel, Stephen and           Gros, Auriane and Winckler, Marco},
  booktitle={Proceedings of the 2023 ACM International Conference on Interactive Media Experiences},
  pages={14--26},
  year={2023}
}


 

Versions

2024-12-18: Updated readme with description of labels, columns, and suggestions on how to start exploring the dataset. We also provide the questionnaire responses and observation notes in English (questionnaire_translation_EN.csv).
DOI: 10.5281/zenodo.8269108
title: CREATTIVE3D multimodal dataset of user behavior in virtual reality

description: In the context of the ANR CREATTIVE3D project, we join the expertise of computer science, neuroscience, and clinical practitioners, with the aim to analyze the impact that a simulated low-vision condition has on user navigation behavior in complex road crossing scenes: a common daily situation where the difficulty to access and process visual information (e.g., traffic lights, approaching cars) in a timely fashion can lead to serious consequences on a person's safety and well-being. As a secondary objective, we also aim to investigate the potential role virtual reality could play in rehabilitation and training protocols for low-vision patients.

This dataset contains the data as part of the study described in An Integrated Framework for Understanding Multimodal Embodied Experiences in Interactive Virtual Reality.

The dataset is metadata for the pre-print Exploring, walking, and interacting in virtual reality with simulated low vision: a living contextual dataset

To use this dataset, please cite:



@article{wu2025exploring,
  title={Exploring, walking, and interacting in virtual reality with simulated low vision: a living contextual dataset},
  author={Wu, Hui-Yin and Robert, Florent and Gallo, Franz Franco and Pirkovets, Kateryna and Qu{\'e}r{\'e}, Cl{\'e}ment and Delachambre, Johanna and Ramano{\"e}l, Stephen and Gros, Auriane and Winckler, Marco and Sassatelli, Lucile and others},
  journal={Scientific Data},
  volume={12},
  number={1},
  pages={330},
  year={2025},
  publisher={Nature Publishing Group UK London}
}@inproceedings{robert2023integrated,
  title={An integrated framework for understanding multimodal embodied experiences in interactive virtual reality},
  author={Robert, Florent and Wu, Hui-Yin and Sassatelli, Lucile and Ramanoel, Stephen and           Gros, Auriane and Winckler, Marco},
  booktitle={Proceedings of the 2023 ACM International Conference on Interactive Media Experiences},
  pages={14--26},
  year={2023}
}


 

Versions

2024-12-18: Updated readme with description of labels, columns, and suggestions on how to start exploring the dataset. We also provide the questionnaire responses and observation notes in English (questionnaire_translation_EN.csv).
DOI: 10.5281/zenodo.18558565
title: Simulated arabidopsis long read RNA-seq

description: Simulated arabidopsis long RNA-seq data used for benchmarking isoform identification and quantification as part of the paper: "Accurate strand-specific de novo long-read transcript isoform discovery and quantification at bulk, single-cell, and single-nucleus resolution" by Yu et al. 2026 

Genome resources are as follows:

Reference GTF annotations:



Araport11_GTF_genes_transposons.May2023.pigeon2_cleaned_with_gene.gtf : full gene set

Araport11_GTF_genes_transposons.May2023.pigeon2_cleaned_with_gene_1isoformPerGene_reduced.gtf : single isoform retained per gene for use with ref-guided isoform ID experiments.

Araport11_GTF_genes_transposons.May2023.pigeon2_cleaned_with_gene_expressed.gtf : expressed subset

Araport11_GTF_genes_transposons.May2023.pigeon2_cleaned_with_gene_1isoformPerGene_expressed_kept.gtf : the single isoform retained among the expressed isoform subset.


Quantification Truth set:



Arabidopsis_transcript_id_count.tsv


IsoSeqSim simulated reads aligned to the reference genome:



Arabidopsis_isoseqsim_simulated_reads_gpd_start_e0000_modified_sorted_filtered.bam : sequence error-free

Arabidopsis_isoseqsim_simulated_reads_gpd_start_e0016_modified_sorted_filtered.bam : 1.6% seq error

Arabidopsis_isoseqsim_simulated_reads_gpd_start_e0050_modified_sorted_filtered.bam : 5% seq error

Arabidopsis_isoseqsim_simulated_reads_gpd_start_e0085_modified_sorted_filtered.bam : 8.5% seq error
DOI: 10.5281/zenodo.18558564
title: Simulated arabidopsis long read RNA-seq

description: Simulated arabidopsis long RNA-seq data used for benchmarking isoform identification and quantification as part of the paper: "Accurate strand-specific de novo long-read transcript isoform discovery and quantification at bulk, single-cell, and single-nucleus resolution" by Yu et al. 2026 

Genome resources are as follows:

Reference GTF annotations:



Araport11_GTF_genes_transposons.May2023.pigeon2_cleaned_with_gene.gtf : full gene set

Araport11_GTF_genes_transposons.May2023.pigeon2_cleaned_with_gene_1isoformPerGene_reduced.gtf : single isoform retained per gene for use with ref-guided isoform ID experiments.

Araport11_GTF_genes_transposons.May2023.pigeon2_cleaned_with_gene_expressed.gtf : expressed subset

Araport11_GTF_genes_transposons.May2023.pigeon2_cleaned_with_gene_1isoformPerGene_expressed_kept.gtf : the single isoform retained among the expressed isoform subset.


Quantification Truth set:



Arabidopsis_transcript_id_count.tsv


IsoSeqSim simulated reads aligned to the reference genome:



Arabidopsis_isoseqsim_simulated_reads_gpd_start_e0000_modified_sorted_filtered.bam : sequence error-free

Arabidopsis_isoseqsim_simulated_reads_gpd_start_e0016_modified_sorted_filtered.bam : 1.6% seq error

Arabidopsis_isoseqsim_simulated_reads_gpd_start_e0050_modified_sorted_filtered.bam : 5% seq error

Arabidopsis_isoseqsim_simulated_reads_gpd_start_e0085_modified_sorted_filtered.bam : 8.5% seq error
DOI: 10.15468/dl.x6cgz7
title: Occurrence Download

description: A dataset containing 208 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 Atriplex buchananii"
 ]
}

 The dataset includes 208 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005958-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25326/357
title: METEO-FRANCE, RADAR 5min Precipitation Amount Composite.

description: METEO-FRANCE Mosaic of 5min Precipitation Amount estimated from 5min Precipitation Amount of individual radars.<br/>It is accompanied in each pixel by a dynamic quality code with values coded between 0 (unusable) and 100 (excellent). For a given pixel, the quality code assigned to the mosaic dataset is the best of the individual quality codes.<br/>It is available on 4 cartesian grids of 1km resolution: Metropolitan France, Antilles, Reunion and New Caledonia. Its temporal extent depends on the grid.<br/>See <a href="https://permalink.aeris-data.fr/radarsmf&#95;doc&#95;cumul5min&#95;fr">French detailed description</a>
DOI: 10.15468/dl.fhzhw7
title: Occurrence Download

description: A dataset containing 673 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Marisa cornuarietis",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 673 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005959-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18599111
title: ЛОГИКО-МАТЕМАТИЧЕСКАЯ ГОТОВНОСТЬ К ШКОЛЕ У ДЕТЕЙ 6–7 ЛЕТ: ДИАГНОСТИКА ЧЕРЕЗ КОНСТРУКТИВНО-МОДЕЛИРУЮЩИЕ ИГРЫ

description: Статья посвящена разработке и научному обоснованию диагностического инструментария для оценки логико-математической готовности детей 6–7 лет к школьному обучению на основе моделирующих игр и заданий с геометрическим материалом. Актуальность работы определяется современными подходами к раннему математическому развитию, согласно которым устойчивые предпосылки успешного обучения формируются не только через освоение счёта, но прежде всего через развитие операций мышления (сравнение, классификация, сериация), пространственного воображения, регуляторных функций и способности действовать по правилу. Описаны критерии интерпретации результатов и уровневые показатели готовности. Подчёркивается значение педагогически корректной диагностики как инструмента индивидуализации образовательных маршрутов и профилактики школьной дезадаптации.
DOI: 10.5281/zenodo.18599112
title: ЛОГИКО-МАТЕМАТИЧЕСКАЯ ГОТОВНОСТЬ К ШКОЛЕ У ДЕТЕЙ 6–7 ЛЕТ: ДИАГНОСТИКА ЧЕРЕЗ КОНСТРУКТИВНО-МОДЕЛИРУЮЩИЕ ИГРЫ

description: Статья посвящена разработке и научному обоснованию диагностического инструментария для оценки логико-математической готовности детей 6–7 лет к школьному обучению на основе моделирующих игр и заданий с геометрическим материалом. Актуальность работы определяется современными подходами к раннему математическому развитию, согласно которым устойчивые предпосылки успешного обучения формируются не только через освоение счёта, но прежде всего через развитие операций мышления (сравнение, классификация, сериация), пространственного воображения, регуляторных функций и способности действовать по правилу. Описаны критерии интерпретации результатов и уровневые показатели готовности. Подчёркивается значение педагогически корректной диагностики как инструмента индивидуализации образовательных маршрутов и профилактики школьной дезадаптации.
DOI: 10.15468/dl.ppcd7a
title: Occurrence Download

description: A dataset containing 1036 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Scomber"
 ]
}

 The dataset includes 1036 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005960-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48573/cyr0-wz85
title: Narratologie et pratiques enseignantes - données quantitatives
title: Narratology and Teaching Practices – Quantitative Data
DOI: 10.48573/tery-k337
title: Narratologie et pratiques enseignantes - données quantitatives
title: Narratology and Teaching Practices – Quantitative Data
DOI: 10.5281/zenodo.18598838
title: GIS datasets used in geospatial electrification analysis for Ethiopia