cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2pblm8
title: CCDC 2482840: Experimental Crystal Structure Determination

description: Related Article: David Vesseur, Shuo Li, Sonia Mallet-Ladeira, Didier Bourissou|2025|Chem.Commun.|||doi:10.1039/d5cc05744b
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: 10.17632/cv3tj56ggm
title: Articles selected for review

description: Os arquivos em anexo armazenam as informações dos artigos utilizados na revisão sistemática intitulada "TRENDS AND CHALLENGES IN STRUCTURAL ANALYSIS AND STANDARDIZATION OF 3D PRINTED CONCRETE", autores Henrique de Aguiar Lima, Marianna Luna Sousa Rivettia e Joyce Batista Azevedo.
DOI: 10.5517/ccdc.csd.cc2phzfm
title: CCDC 2488011: Experimental Crystal Structure Determination

description: Related Article: Corey L. Brown, Scarlett H. Elliott, Sian E. Woodfine, Chris S. Hawes|2025|CrystEngComm|27|7358|doi:10.1039/d5ce00926j
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: 10.5517/ccdc.csd.cc2phzgn
title: CCDC 2488012: Experimental Crystal Structure Determination

description: Related Article: Corey L. Brown, Scarlett H. Elliott, Sian E. Woodfine, Chris S. Hawes|2025|CrystEngComm|27|7358|doi:10.1039/d5ce00926j
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: 10.17632/cv3tj56ggm.1
title: Articles selected for review

description: Os arquivos em anexo armazenam as informações dos artigos utilizados na revisão sistemática intitulada "TRENDS AND CHALLENGES IN STRUCTURAL ANALYSIS AND STANDARDIZATION OF 3D PRINTED CONCRETE", autores Henrique de Aguiar Lima, Marianna Luna Sousa Rivettia e Joyce Batista Azevedo.
DOI: 10.5517/ccdc.csd.cc2phzhp
title: CCDC 2488013: Experimental Crystal Structure Determination

description: Related Article: Corey L. Brown, Scarlett H. Elliott, Sian E. Woodfine, Chris S. Hawes|2025|CrystEngComm|27|7358|doi:10.1039/d5ce00926j
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: 10.5517/ccdc.csd.cc2pp1t8
title: CCDC 2492890: Experimental Crystal Structure Determination

description: Related Article: David Vesseur, Shuo Li, Sonia Mallet-Ladeira, Didier Bourissou|2025|Chem.Commun.|||doi:10.1039/d5cc05744b
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.ebnu7z
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Brassica campestris",
 "Year 1950-2025"
 ]
}

 The dataset includes 30 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005704-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21950/yuuote
title: Numerical model of CSF flow and transport in the spinal canal

description: This dataset contains files that comprise a numerical model for simulating cerebrospinal fluid (CSF) movement and solute transport in an idealized spinal canal. Among other things, the files allow the calculation of solute transport with densities different from that of CSF, for a relevant Richardson number of order one. This model replicates the numerical simulations performed in the project using canonical configurations and also forms the basis for simulations in more realistic anatomical and physiological configurations. The model presents a constant eccentricity between the dura and pia membranes equal to beta=0.5, computed as the distance between axes divided by the mean characteristic radial gap between the membranes. The simulation is implemented for a Womersley number equal to 3, computed as the square root of the mean characteristic radial gap power to two times the angular frequency divided by the kinematic viscosity, and a solute of molecular such that the Schmidt number is equal to 1000.
description: Numerical model for the flow of CSF and transport of a solute in the spinal canal
DOI: 10.17632/9692c7sptd
title: SNTP

description: Model architecture and training codes for research paper "Segmantation is Not The Purpose: a wheat impurity regression network integrating semantic segmentation". Model weights and dataset will be uploaded sooner.
DOI: 10.17632/9692c7sptd.1
title: SNTP

description: Model architecture and training codes for research paper "Segmantation is Not The Purpose: a wheat impurity regression network integrating semantic segmentation". Model weights and dataset will be uploaded sooner.
DOI: 10.17632/r6h4svxxnp
title: Dataset for Beneath the Surface: Gut Microbes, Cyathostomins and Resident Immune Cells – Characterising the Baseline.

description: This dataset contains all files associated with the study “Beneath the Surface: Gut Microbes, Cyathostomins and Resident Immune Cells – Characterising the Baseline,” published in the International Journal for Parasitology.
The dataset includes:

Intermediate processed data:
Demultiplexed reads after quality control
ASV feature tables (QIIME2 output)
Taxonomic assignments (SILVA-based classification)
Alpha and beta diversity metrics
Metadata files (sample IDs, DNA qual' gut compartment, parasite burden)



Final outputs:

Figures used in the manuscript (bar plots, PCoA, Venn diagrams)



These files enable full reproducibility of the analyses described in the manuscript.
Keywords:
Equine microbiota, cyathostomins, gut immunity, QIIME2, 16S rRNA sequencing, parasitology
DOI: 10.17632/r6h4svxxnp.1
title: Dataset for Beneath the Surface: Gut Microbes, Cyathostomins and Resident Immune Cells – Characterising the Baseline.

description: This dataset contains all files associated with the study “Beneath the Surface: Gut Microbes, Cyathostomins and Resident Immune Cells – Characterising the Baseline,” published in the International Journal for Parasitology.
The dataset includes:

Intermediate processed data:
Demultiplexed reads after quality control
ASV feature tables (QIIME2 output)
Taxonomic assignments (SILVA-based classification)
Alpha and beta diversity metrics
Metadata files (sample IDs, DNA qual' gut compartment, parasite burden)



Final outputs:

Figures used in the manuscript (bar plots, PCoA, Venn diagrams)



These files enable full reproducibility of the analyses described in the manuscript.
Keywords:
Equine microbiota, cyathostomins, gut immunity, QIIME2, 16S rRNA sequencing, parasitology
DOI: 10.15468/dl.wcnvea
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sinobambusa tootsik"
 ]
}

 The dataset includes 17 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005705-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uzeng7
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((17.325544101642155 54.533430219505036, 17.32588966530163 54.53605759085205, 17.32534711900597 54.53867367181695, 17.323937157286956 54.54117791751812, 17.321713835288474 54.543474065439604, 17.318762511100083 54.54547383866504, 17.31519657814241 54.54710034397911, 17.311153111243403 54.548291033387116, 17.306787593150577 54.54900011424354, 17.30226792501302 54.54920031438835, 17.297767953201074 54.548883933641136, 17.293460764401456 54.548063140720544, 17.28951201032855 54.546769504025065, 17.286073522189547 54.54505277454827, 17.283277463289593 54.542978968299536, 17.28123124640857 54.54062782278734, 17.28001341182496 54.53808972631063, 17.279670623496088 54.53546223904476, 17.28021589662371 54.532846340428165, 17.28162812154069 54.530342547581625, 17.283852898551814 54.528047054078066, 17.286804648054982 54.52604803720467, 17.290369911879136 54.52442227502902, 17.29441171706573 54.52323220240978, 17.29877483384788 54.52252351809186, 17.303291726654315 54.522323433865935, 17.30778897163383 54.522639632264834, 17.31209389723532 54.52345997233072, 17.31604119629583 54.52475295460821, 17.31947925912057 54.52646892773293, 17.32227598715452 54.528541990843266, 17.324323865748106 54.53089251956678, 17.325544101642155 54.533430219505036))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005707-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/r9vz29xx25
title: CFD RANS 3D CYLINDER-SPHERE
DOI: 10.17632/r9vz29xx25.1
title: CFD RANS 3D CYLINDER-SPHERE
DOI: 10.17632/wfsyh6jx3y
title: Multiclass English Hate Speech Dataset

description: Multiclass English Hate Speech Dataset is an extended and fine-grained version of the original binary-labelled hate-speech dataset released as part of the TweetEval benchmark (Hate sub-task). While the original dataset contained English posts annotated only as Hate or Non-Hate, this work substantially enhances it by applying a detailed manual re-annotation process to create multiple specific hate-speech categories. This provides richer granularity and enables more accurate modelling of real-world online hate.

All posts were manually reviewed and reclassified by trained annotators following a structured annotation guideline. The dataset introduces a comprehensive multiclass taxonomy capturing different forms of explicit and implicit hate, such as:

Gender-Based Hate Speech (Misogyny)

Gender-Based Hate Speech (Misandry)

Immigration & Xenophobic Hate Speech (Anti-Immigrant)

Immigration & Xenophobic Hate Speech (Anti-Refugee)

Immigration & Xenophobic Hate Speech (Xenophobia)

Through this re-annotation effort, the dataset transforms a simple binary classification problem into a 14-class fine-grained hate-speech categorization task, enabling more robust research on model sensitivity, bias analysis, safety evaluation, and explainability.

The dataset is suitable for:

Content-moderation research and safety evaluation

Sociolinguistic analysis of targeted abuse


All user identifiers and personally identifiable information (PII) have been removed or masked to ensure privacy and ethical compliance. The dataset includes the anonymized text, the newly assigned multiclass label, and mapping metadata to the original TweetEval record.

This resource aims to support researchers, practitioners, and policymakers in building safer and more responsible AI systems capable of detecting nuanced forms of online hate and targeted harassment.
DOI: 10.17632/wfsyh6jx3y.1
title: Multiclass English Hate Speech Dataset

description: Multiclass English Hate Speech Dataset is an extended and fine-grained version of the original binary-labelled hate-speech dataset released as part of the TweetEval benchmark (Hate sub-task). While the original dataset contained English posts annotated only as Hate or Non-Hate, this work substantially enhances it by applying a detailed manual re-annotation process to create multiple specific hate-speech categories. This provides richer granularity and enables more accurate modelling of real-world online hate.

All posts were manually reviewed and reclassified by trained annotators following a structured annotation guideline. The dataset introduces a comprehensive multiclass taxonomy capturing different forms of explicit and implicit hate, such as:

Gender-Based Hate Speech (Misogyny)

Gender-Based Hate Speech (Misandry)

Immigration & Xenophobic Hate Speech (Anti-Immigrant)

Immigration & Xenophobic Hate Speech (Anti-Refugee)

Immigration & Xenophobic Hate Speech (Xenophobia)

Through this re-annotation effort, the dataset transforms a simple binary classification problem into a 14-class fine-grained hate-speech categorization task, enabling more robust research on model sensitivity, bias analysis, safety evaluation, and explainability.

The dataset is suitable for:

Content-moderation research and safety evaluation

Sociolinguistic analysis of targeted abuse


All user identifiers and personally identifiable information (PII) have been removed or masked to ensure privacy and ethical compliance. The dataset includes the anonymized text, the newly assigned multiclass label, and mapping metadata to the original TweetEval record.

This resource aims to support researchers, practitioners, and policymakers in building safer and more responsible AI systems capable of detecting nuanced forms of online hate and targeted harassment.
DOI: 10.15468/dl.6639z6
title: Occurrence Download

description: A dataset containing 41196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Artemisia"
 ]
}

 The dataset includes 41196 records from 346 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005706-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.apfqsp
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((17.393538372504175 54.53712811057504, 17.39388810342286 54.53975528266157, 17.393349631435466 54.542371637370266, 17.391943494404565 54.54487661937689, 17.389723600298456 54.54717393793329, 17.38677517521029 54.549175271176644, 17.383211500856262 54.55080366595189, 17.37916956498935 54.55199650163324, 17.374804791300168 54.55270790304695, 17.37028505220216 54.55291050878637, 17.365784196775092 54.5525965261463, 17.36147534575887 54.551778031610375, 17.357524214941346 54.55048650518777, 17.35408272713145 54.548771616735166, 17.351283161203703 54.5466993115016, 17.349233064989004 54.54434926933261, 17.34801112806615 54.54181183617451, 17.347664172171246 54.53918454678054, 17.348205372680383 54.53656837306412, 17.349613776338362 54.53406384279509, 17.351835130103517 54.53176717794858, 17.35478398566278 54.52976660086614, 17.358346995764524 54.528138949584054, 17.36238727378205 54.52694673153811, 17.366749648417258 54.52623572787262, 17.37126661249098 54.526033239440665, 17.375764739395837 54.5263470410884, 17.38007132378482 54.52716508388672, 17.384020994943526 54.52845595659934, 17.38746205228284 54.53017008889105, 17.390262282463343 54.53224165063144, 17.392314036527598 54.53459107516509, 17.393538372504175 54.53712811057504))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 15 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005708-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/4js9dfy9hm
title: Physicochemical Properties of Water-Dialyzed Single Asian Dust Particles

description: Here we present a dataset detailing the physicochemical properties of single Asian dust particles processed by water dialysis. Comprising 8 Excel files, the dataset provides size, shape, and elemental composition data for more than 85,000 particles. These particles were generated from surface soils of the Taklimakan and Gobi Deserts using a resuspension chamber and subsequently analyzed by computer-controlled scanning electron microscopy (CCSEM) to investigate the effects of aqueous processing.
DOI: 10.17632/4js9dfy9hm.1
title: Physicochemical Properties of Water-Dialyzed Single Asian Dust Particles

description: Here we present a dataset detailing the physicochemical properties of single Asian dust particles processed by water dialysis. Comprising 8 Excel files, the dataset provides size, shape, and elemental composition data for more than 85,000 particles. These particles were generated from surface soils of the Taklimakan and Gobi Deserts using a resuspension chamber and subsequently analyzed by computer-controlled scanning electron microscopy (CCSEM) to investigate the effects of aqueous processing.
DOI: 10.17632/yztbsv3w8r
title: Soil organic carbon data in Northeast China

description: 135 soil samples were obtained from cropland in Suihua city in 2021, ensuring that each soil sample was located away from roads and distributed at 5–10 km intervals. The detailed procedures for processing methods of soil samples in the field and laboratory . SOC ranged widely from 8.66 to 35.21 g kg-1, with a total variation of 26.55 g kg-1.
DOI: 10.17632/yztbsv3w8r.1
title: Soil organic carbon data in Northeast China

description: 135 soil samples were obtained from cropland in Suihua city in 2021, ensuring that each soil sample was located away from roads and distributed at 5–10 km intervals. The detailed procedures for processing methods of soil samples in the field and laboratory . SOC ranged widely from 8.66 to 35.21 g kg-1, with a total variation of 26.55 g kg-1.
DOI: 10.17632/smfdjdzd45
title: Fox Pair Movement data

description: Simultaneous location data for monogamous pairs of three species of foxes: island, kit and arctic.
DOI: 10.17632/smfdjdzd45.3
title: Fox Pair Movement data

description: Simultaneous location data for monogamous pairs of three species of foxes: island, kit and arctic.
DOI: 10.15468/dl.sh2446
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((17.320688051512036 54.52335205079783, 17.321033239099442 54.52597947367767, 17.320490525212538 54.52859557225406, 17.319080610900947 54.53109980096382, 17.316857549559227 54.53339589794155, 17.31390668931661 54.53539558822861, 17.31034140579657 54.537021981799555, 17.3062987488721 54.53821253495867, 17.30193417013653 54.538921460302646, 17.297415534586985 54.53912149165436, 17.292916648841384 54.538804935326205, 17.288610557772053 54.53798396678901, 17.284662870835675 54.536690161192595, 17.281225378173474 54.53497327602126, 17.27843020480308 54.532899333265, 17.276384729471552 54.53054807567348, 17.27516746398743 54.528009895846544, 17.274825050490925 54.52538235715601, 17.27537048984978 54.52276644101036, 17.27678266608607 54.52026266519935, 17.27900718144774 54.51796722263869, 17.281958466444156 54.51596828865795, 17.285523080786803 54.514342638141805, 17.289564076478793 54.513152701662584, 17.293926254834343 54.51244417273969, 17.29844211629247 54.512244257198695, 17.30293827656566 54.512560631096086, 17.307242105710127 54.51338114673448, 17.311188338626803 54.514674297913764, 17.31462540653572 54.516390426778756, 17.317421249083967 54.51846362648024, 17.319468385648136 54.520814267391934, 17.320688051512036 54.52335205079783))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005709-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11588/duerer.online.692456b1a0eea
title: Albrecht Dürers Haus, https://d-nb.info/gnd/1207789844
DOI: 10.5281/zenodo.17700023
title: Accesibilidad en las plataformas del metaverso 2025
DOI: 10.5281/zenodo.17700024
title: Accesibilidad en las plataformas del metaverso 2025
DOI: 10.6084/m9.figshare.30694538
title: Chamizo et al-Comm-Earth&Environment-2025

description: The isotopic ratio of Americium-243 to Americium-241 was measured by accelerator mass spectrometry in International Atomic Energy Agency reference materials to assess its potential for distinguishing americium contamination sources. New data on Plutonium-244 was also provided.
DOI: 10.6084/m9.figshare.30694538.v1
title: Chamizo et al-Comm-Earth&Environment-2025

description: The isotopic ratio of Americium-243 to Americium-241 was measured by accelerator mass spectrometry in International Atomic Energy Agency reference materials to assess its potential for distinguishing americium contamination sources. New data on Plutonium-244 was also provided.
DOI: 10.17632/p9fz2pm7tk
title: Quality of Life Impacts Satisfaction with Dermatologic Care Independently of Disease Severity: A Cross-Sectional Analysis

description: Supplementary methods for the brief report titled "Quality of Life Impacts Satisfaction with Dermatologic Care Independently of Disease Severity: A Cross-Sectional Analysis "
DOI: 10.21950/af7fkd
title: Experiments on the effect of microanatomy on CSF flow

description: This document contains results from in-vitro experiments on the effect of micranatomical feaures on the cerebrospinal fluid flow. The experiments consider a canonical representation of a spinal canal as a 2D straight canal, where the microanatomical features are modelled as cylindrical posts. It includes original NEF format images of the time evolution of the velocity field around the obstacles. Data are included for different values ​​of the specified control parameters, as indicated below.
description: Results of in-vitro experiments on the effect of microanatomical elements on the CSF flow in a simplified spinal canal
DOI: 10.17632/p9fz2pm7tk.1
title: Quality of Life Impacts Satisfaction with Dermatologic Care Independently of Disease Severity: A Cross-Sectional Analysis

description: Supplementary methods for the brief report titled "Quality of Life Impacts Satisfaction with Dermatologic Care Independently of Disease Severity: A Cross-Sectional Analysis "
DOI: 10.17632/646kw5pg6f.3
title: Supplementary Material for Phenotypic Clustering in adult SAPHO Syndrome

description: Supplementary Figure Legends 
Supplementary Figure 1
Supplementary Figure 2 A-D
Supplementary Figure 3
Supplementary Figure 4
Supplementary Table I
Supplementary Table II
DOI: 10.17632/sjv8cspsg8
title: NanoRod Simulator

description: Just Download and Run Based on the Characteristics of the System.