cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2hdk9s
title: CCDC 2305975: Experimental Crystal Structure Determination

description: Related Article: Changmuk Kang, Seyong Kim, Woosong Han, Huijeong Ryu, Wooyong Seong, Jiyun Kim, Da-Ae Park, Seongwook Park, Kyungho Park, Hyun Min Park, Hyun Tae Kim, Chang Hee Lee, Sukwon Hong|2025|J. CO2 Utilization|91|103004|doi:10.1016/j.jcou.2024.103004
description: Related Article: Huijeong Ryu|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.fzqxr9
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Iris japonica",
 "Year 1970-2000"
 ]
}

 The dataset includes 127 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069284-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18075154
title: test_pos
DOI: 10.6084/m9.figshare.30971707
title: original data1

description: The mechanism of changes in soil organic carbon (SOC) at different stages of the recovery of plateau pikas' mounds on the Qinghai-Xizang Plateau was studied.
DOI: 10.6084/m9.figshare.30971707.v1
title: original data1

description: The mechanism of changes in soil organic carbon (SOC) at different stages of the recovery of plateau pikas' mounds on the Qinghai-Xizang Plateau was studied.
DOI: 10.5281/zenodo.18093022
title: SEM Withered Plant (BSE, 2025-12-30 · Set03) — Kikoh Matsuura (Art–Science Archive)

description: SEM Withered Plant (BSE, 2025-12-30 · Set03) is a child dataset within the series SEM Withered Plant (BSE Series) by Kikoh Matsuura.

It contains raw, uncompressed BMP images (without embedded scale bars) and JPG preview images (with overlaid scale bars), acquired on 2025-12-30 with a personally owned TECHNEX TinySEM M3-i using the BSE detector under high-vacuum conditions.

This dataset constitutes the primary observation data underlying the art–science work Withered Plant.The images capture the hidden microstructures of a dried plant fragment, prepared with an Au sputter coating and observed at an accelerating voltage of 15 kV with a label magnification of 1000×.

By preserving both raw scientific evidence and its artistic context, this record stands as a unique trace at the boundary between art and science.

It links to the parent series record via the “Related works” field (IsPartOf) and contributes to the long-term archival of observation as both scientific evidence and a cultural record.
DOI: 10.5281/zenodo.18093021
title: SEM Withered Plant (BSE, 2025-12-30 · Set03) — Kikoh Matsuura (Art–Science Archive)

description: SEM Withered Plant (BSE, 2025-12-30 · Set03) is a child dataset within the series SEM Withered Plant (BSE Series) by Kikoh Matsuura.

It contains raw, uncompressed BMP images (without embedded scale bars) and JPG preview images (with overlaid scale bars), acquired on 2025-12-30 with a personally owned TECHNEX TinySEM M3-i using the BSE detector under high-vacuum conditions.

This dataset constitutes the primary observation data underlying the art–science work Withered Plant.The images capture the hidden microstructures of a dried plant fragment, prepared with an Au sputter coating and observed at an accelerating voltage of 15 kV with a label magnification of 1000×.

By preserving both raw scientific evidence and its artistic context, this record stands as a unique trace at the boundary between art and science.

It links to the parent series record via the “Related works” field (IsPartOf) and contributes to the long-term archival of observation as both scientific evidence and a cultural record.
DOI: 10.15468/dl.tuub9a
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Iris ruthenica",
 "Year 1970-2000"
 ]
}

 The dataset includes 125 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069285-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18096367
title: National-scale spatial modelling of dust storm pollution and vulnerability of tourism destinations and infrastructure

description: This dataset comprises spatial criterion maps and model outputs developed to assess the vulnerability of tourism destinations and related infrastructure to atmospheric dust storm pollution at the national scale in Iran. The data were produced within the framework of the study entitled "National-scale spatial modelling of dust storm pollution and vulnerability of tourism destinations and infrastructure".

The dataset includes a comprehensive set of spatial indicators representing the three core components of vulnerability: exposure, sensitivity, and adaptive capacity. Exposure-related layers characterize the intensity, frequency, and severity of dust storm pollution, while sensitivity indicators reflect the spatial concentration and diversity of tourism destinations and supporting infrastructure. Adaptive capacity layers represent ecological, infrastructural, and service-based capacities that mitigate the impacts of dust pollution. All spatial layers were standardized using the min–max normalization method to ensure comparability.

Criterion weights were derived using the Full Consistency Method (FUCOM), and the standardized layers were integrated using a Weighted Linear Combination (WLC) approach within a GIS environment to quantify exposure, sensitivity, and adaptive capacity levels. These components were subsequently combined to generate a national-scale vulnerability map of tourism destinations to dust storm pollution. In addition, spatial overlay analysis was applied to identify the vulnerability status of individual tourism destinations and infrastructure by intersecting their geographic locations with the final vulnerability surface.

The resulting dataset provides spatially explicit insights into dust pollution risks affecting tourism systems and supports evidence-based environmental management, climate adaptation planning, and pollution mitigation strategies in dust-prone regions.

The dataset includes:





Spatial criterion maps for dust storm exposure




Spatial criterion maps representing tourism sensitivity




Spatial criterion maps for adaptive capacity indicators




WLC model outputs for exposure, sensitivity, and adaptive capacity components




Final national-scale vulnerability map of tourism destinations to dust storm pollution
DOI: 10.5281/zenodo.18096366
title: National-scale spatial modelling of dust storm pollution and vulnerability of tourism destinations and infrastructure

description: This dataset comprises spatial criterion maps and model outputs developed to assess the vulnerability of tourism destinations and related infrastructure to atmospheric dust storm pollution at the national scale in Iran. The data were produced within the framework of the study entitled "National-scale spatial modelling of dust storm pollution and vulnerability of tourism destinations and infrastructure".

The dataset includes a comprehensive set of spatial indicators representing the three core components of vulnerability: exposure, sensitivity, and adaptive capacity. Exposure-related layers characterize the intensity, frequency, and severity of dust storm pollution, while sensitivity indicators reflect the spatial concentration and diversity of tourism destinations and supporting infrastructure. Adaptive capacity layers represent ecological, infrastructural, and service-based capacities that mitigate the impacts of dust pollution. All spatial layers were standardized using the min–max normalization method to ensure comparability.

Criterion weights were derived using the Full Consistency Method (FUCOM), and the standardized layers were integrated using a Weighted Linear Combination (WLC) approach within a GIS environment to quantify exposure, sensitivity, and adaptive capacity levels. These components were subsequently combined to generate a national-scale vulnerability map of tourism destinations to dust storm pollution. In addition, spatial overlay analysis was applied to identify the vulnerability status of individual tourism destinations and infrastructure by intersecting their geographic locations with the final vulnerability surface.

The resulting dataset provides spatially explicit insights into dust pollution risks affecting tourism systems and supports evidence-based environmental management, climate adaptation planning, and pollution mitigation strategies in dust-prone regions.

The dataset includes:





Spatial criterion maps for dust storm exposure




Spatial criterion maps representing tourism sensitivity




Spatial criterion maps for adaptive capacity indicators




WLC model outputs for exposure, sensitivity, and adaptive capacity components




Final national-scale vulnerability map of tourism destinations to dust storm pollution
DOI: 10.15468/dl.my7uds
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "StateProvince is Huila",
 "TaxonKey is Centrolenidae"
 ]
}

 The dataset includes 102 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069287-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wpwdjm
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Xysmalobium samoritourei"
 ]
}

 The dataset includes 17 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069288-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rm8gxb
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Iris tectorum",
 "Year 1970-2000"
 ]
}

 The dataset includes 108 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069289-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30971737
title: Influenza Metadata

description: Corresponding metadata
DOI: 10.6084/m9.figshare.30971737.v1
title: Influenza Metadata

description: Corresponding metadata
DOI: 10.5281/zenodo.18097087
title: Dados de Pesquisa do Projeto Temático FAPESP: "P&D&I em Metrologia das Radiações na Área da Saúde"

description: Título: "P&D&I em Metrologia das Radiações na Área da Saúde"

Modalidade: Auxílio à Pesquisa: Projeto Temático FAPESP

Processo: 2018/05982-0

Pesquisadora Responsável: Dra. Linda Caldas (IPEN/USP)

Resumo

As aplicações das radiações ionizantes em diferentes áreas, como saúde, indústria, meio ambiente e agricultura, têm efeito direto na qualidade de vida da população. Por isso, a melhoria de métodos e técnicas, e o desenvolvimento de instrumentos e sistemas para a medição das radiações, são fundamentais para que o uso delas seja benéfico, eficaz e, ao mesmo tempo, obedeça a todos os requisitos de segurança, impedindo os riscos adversos da radiação. Este projeto está baseado na pesquisa, desenvolvimento e inovação em metrologia das radiações ionizantes com aplicações na área da saúde em radioterapia, radiodiagnóstico e medicina nuclear, e esterilização de materiais e instrumentos médicos. O intuito é formar uma base metrológica para calibração de detectores com radiações alfa, beta, gama e X, para novos sistemas dosimétricos e metodologias em metrologia das radiações, com técnicas luminescentes e outras, gerando impacto técnico-científico nacional e internacional e contribuindo para o uso seguro das radiações ionizantes. A metodologia da pesquisa consistirá no desenvolvimento e implantação de: materiais e sistemas dosimétricos, objetos simuladores para radioterapia e radiodiagnóstico, câmaras de ionização, detectores de radiação e novas metodologias (para detectores de estado sólido e géis poliméricos), interagindo com grupos nacionais e internacionais de excelência da área. Outra meta importante será a formação e o treinamento de pessoal em metrologia das radiações aplicadas à medicina. A originalidade e a relevância da proposta consistem no desenvolvimento, na melhoria e no estabelecimento de novos materiais, instrumentos e técnicas úteis para a metrologia e a dosimetria das radiações, utilizando ainda as técnicas de simulação computacional.

 

Mais informações em:

https://bv.fapesp.br/pt/auxilios/104998/pdi-em-metrologia-das-radiacoes-na-area-da-saude/?q=numero_processo:(18/05982-0)
DOI: 10.5281/zenodo.18095089
title: Dados de Pesquisa do Projeto Temático FAPESP: "P&D&I em Metrologia das Radiações na Área da Saúde"

description: Título: "P&D&I em Metrologia das Radiações na Área da Saúde"

Modalidade: Auxílio à Pesquisa: Projeto Temático FAPESP

Processo: 2018/05982-0

Pesquisadora Responsável: Dra. Linda Caldas (IPEN/USP)

Resumo

As aplicações das radiações ionizantes em diferentes áreas, como saúde, indústria, meio ambiente e agricultura, têm efeito direto na qualidade de vida da população. Por isso, a melhoria de métodos e técnicas, e o desenvolvimento de instrumentos e sistemas para a medição das radiações, são fundamentais para que o uso delas seja benéfico, eficaz e, ao mesmo tempo, obedeça a todos os requisitos de segurança, impedindo os riscos adversos da radiação. Este projeto está baseado na pesquisa, desenvolvimento e inovação em metrologia das radiações ionizantes com aplicações na área da saúde em radioterapia, radiodiagnóstico e medicina nuclear, e esterilização de materiais e instrumentos médicos. O intuito é formar uma base metrológica para calibração de detectores com radiações alfa, beta, gama e X, para novos sistemas dosimétricos e metodologias em metrologia das radiações, com técnicas luminescentes e outras, gerando impacto técnico-científico nacional e internacional e contribuindo para o uso seguro das radiações ionizantes. A metodologia da pesquisa consistirá no desenvolvimento e implantação de: materiais e sistemas dosimétricos, objetos simuladores para radioterapia e radiodiagnóstico, câmaras de ionização, detectores de radiação e novas metodologias (para detectores de estado sólido e géis poliméricos), interagindo com grupos nacionais e internacionais de excelência da área. Outra meta importante será a formação e o treinamento de pessoal em metrologia das radiações aplicadas à medicina. A originalidade e a relevância da proposta consistem no desenvolvimento, na melhoria e no estabelecimento de novos materiais, instrumentos e técnicas úteis para a metrologia e a dosimetria das radiações, utilizando ainda as técnicas de simulação computacional.

 

Mais informações em:

https://bv.fapesp.br/pt/auxilios/104998/pdi-em-metrologia-das-radiacoes-na-area-da-saude/?q=numero_processo:(18/05982-0)
DOI: 10.6084/m9.figshare.29582597
title: FOREST Project Pollinator Data

description: Dataset of pollinators and floral resources from 18 no. native woodland plantations in the east and midlands of Ireland. Sites between 2 and 20 years old. Sampling undertaken in 2023 using pan traps and transects.Data for Harrington et al (2026). <i>Pollinator communities as indicators of ecological change in developing woodlands. </i>Ecological Solutions and Evidence (Accepted Manuscript Dec 2025).<br>Site_Env_Data.xls - contains all species richness/abundance, site and environmental variables used for generation of models and plots.SiteSps_Matrices.xls - were used for ordinations and beta-diversity metrics.Interactions.xls - used for generation of plant-pollinator interaction networks.MetaData within each file.
DOI: 10.6084/m9.figshare.29582597.v1
title: FOREST Project Pollinator Data

description: Dataset of pollinators and floral resources from 18 no. native woodland plantations in the east and midlands of Ireland. Sites between 2 and 20 years old. Sampling undertaken in 2023 using pan traps and transects.Data for Harrington et al (2026). <i>Pollinator communities as indicators of ecological change in developing woodlands. </i>Ecological Solutions and Evidence (Accepted Manuscript Dec 2025).<br>Site_Env_Data.xls - contains all species richness/abundance, site and environmental variables used for generation of models and plots.SiteSps_Matrices.xls - were used for ordinations and beta-diversity metrics.Interactions.xls - used for generation of plant-pollinator interaction networks.MetaData within each file.
DOI: 10.6084/m9.figshare.30971746
title: NCBI Influenza Sequences

description: NCBI influenza sequence data to use with nf-flu
DOI: 10.6084/m9.figshare.30971746.v1
title: NCBI Influenza Sequences

description: NCBI influenza sequence data to use with nf-flu
DOI: 10.15468/dl.8s2su8
title: Occurrence Download

description: A dataset containing 154 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bletilla formosana",
 "Year 1970-2000"
 ]
}

 The dataset includes 154 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069291-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18085043
title: RESTOLINK Dataset

description: This dataset contains primary data on stream hydromorphology, biodiversity (including microbial and macroinvertebrate communities), ecosystem functioning, and associated environmental parameters collected within the RESTOLINK project. Data were generated through coordinated field sampling and experimental approaches across multiple restored and unrestored stream reaches in several European countries. The dataset supports analyses of how hydromorphological restoration and habitat heterogeneity influence biodiversity–ecosystem functioning relationships in running waters.
DOI: 10.5281/zenodo.18085044
title: RESTOLINK Dataset

description: This dataset contains primary data on stream hydromorphology, biodiversity (including microbial and macroinvertebrate communities), ecosystem functioning, and associated environmental parameters collected within the RESTOLINK project. Data were generated through coordinated field sampling and experimental approaches across multiple restored and unrestored stream reaches in several European countries. The dataset supports analyses of how hydromorphological restoration and habitat heterogeneity influence biodiversity–ecosystem functioning relationships in running waters.
DOI: 10.34740/kaggle/dsv/14345062
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.18096939
title: Observed rainfall data from the Matinha meteorological tower (Atlantic Forest, Brazil)

description: This dataset contains observed daily and hourly rainfall measurements from the Matinha meteorological tower, located in the Atlantic Forest biome, Brazil.The data support the analyses presented in the study “Machine Learning–Based Methodology for Rainfall Data Reconstruction in Seasonal Forest Ecosystems”.The dataset is provided to ensure transparency and reproducibility of the modeling framework and may be reused for research purposes.
DOI: 10.5281/zenodo.18096940
title: Observed rainfall data from the Matinha meteorological tower (Atlantic Forest, Brazil)

description: This dataset contains observed daily and hourly rainfall measurements from the Matinha meteorological tower, located in the Atlantic Forest biome, Brazil.The data support the analyses presented in the study “Machine Learning–Based Methodology for Rainfall Data Reconstruction in Seasonal Forest Ecosystems”.The dataset is provided to ensure transparency and reproducibility of the modeling framework and may be reused for research purposes.
DOI: 10.5281/zenodo.18067421
title: Kawahara-Gemini-GPT-Table: Prime-Packing Structure of Elements (Z=1–100)

description: This dataset presents the "prime-packing" structure of chemical elementsfrom atomic number 1 to 100.

Each element’s total particle number is expressed in prime-based units,while residual protons represent compression-induced spatial twists.Hydrogen (Z = 1) is defined as the non-compressed reference state.

The dataset includes:

- Kawahara-Gemini-GPT-Table.tex    LaTeX source of the table

- Kawahara-Gemini-GPT-Table.csv    CSV version for numerical analysis

- Kawahara-Gemini-GPT-Table.pdf    PDF visualization of the table

- README.txt    Dataset description and CC0 license declaration

Released under CC0 1.0 Universal (Public Domain), this dataset may be freelyused, modified, and redistributed without restriction.

It serves as a reference for researchers exploring alternative structuralrepresentations of elements and information-based particle models.
DOI: 10.5281/zenodo.18097066
title: Kawahara-Gemini-GPT-Table: Prime-Packing Structure of Elements (Z=1–100)

description: This dataset presents the "prime-packing" structure of chemical elementsfrom atomic number 1 to 100.

Each element’s total particle number is expressed in prime-based units,while residual protons represent compression-induced spatial twists.Hydrogen (Z = 1) is defined as the non-compressed reference state.

The dataset includes:

- Kawahara-Gemini-GPT-Table.tex    LaTeX source of the table

- Kawahara-Gemini-GPT-Table.csv    CSV version for numerical analysis

- Kawahara-Gemini-GPT-Table.pdf    PDF visualization of the table

- README.txt    Dataset description and CC0 license declaration

Released under CC0 1.0 Universal (Public Domain), this dataset may be freelyused, modified, and redistributed without restriction.

It serves as a reference for researchers exploring alternative structuralrepresentations of elements and information-based particle models.
DOI: 10.5281/zenodo.18097061
title: Deeper than we thought: New depth records for northern Red Sea and eastern Mediterranean Sea fishes

description: This repository provides the raw data derived from the stereo-Baited Remote Underwater Video surveys reported in the manuscript: "Deeper than we thought: New depth records for northern Red Sea and eastern Mediterranean Sea fishes"

DOI: https://doi.org/10.12681/mms.41312
DOI: 10.5281/zenodo.18097060
title: Deeper than we thought: New depth records for northern Red Sea and eastern Mediterranean Sea fishes

description: This repository provides the raw data derived from the stereo-Baited Remote Underwater Video surveys reported in the manuscript: "Deeper than we thought: New depth records for northern Red Sea and eastern Mediterranean Sea fishes"

DOI: https://doi.org/10.12681/mms.41312