cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.vvf8sf
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-73.7448566000000056 42.6675722000000022, -73.7448566000000056 42.6682994900000025, -73.7448566000000056 42.6687701000000033, -73.7448566000000056 42.6693690399999994, -73.7448566000000056 42.6699252100000024, -73.7448566000000056 42.6707808499999999, -73.7448566000000056 42.6712514499999997, -73.7448566000000056 42.6718503999999967, -73.7437047600000000 42.6718503999999967, -73.7427663299999949 42.6718503999999967, -73.7419558600000045 42.6718503999999967, -73.7411027400000023 42.6718503999999967, -73.7399508999999966 42.6718503999999967, -73.7399508999999966 42.6708236300000010, -73.7399508999999966 42.6697968599999982, -73.7399508999999966 42.6691123499999989, -73.7399508999999966 42.6683850599999985, -73.7399508999999966 42.6675722000000022, -73.7405908700000055 42.6675722000000022, -73.7415292999999963 42.6675722000000022, -73.7427663299999949 42.6675722000000022, -73.7440460100000053 42.6675722000000022, -73.7448566000000056 42.6675722000000022))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0099094-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jtvuyb
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Onoba sulcula Ponder & Worsfold, 1994"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094718-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u8m9b4
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-81.4217084999999940 40.7969121000000001, -81.4217084999999940 40.7979369299999988, -81.4217084999999940 40.7988977099999985, -81.4217084999999940 40.7996022800000020, -81.4217084999999940 40.8006911700000003, -81.4217084999999940 40.8022924699999976, -81.4217084999999940 40.8033173000000033, -81.4201121800000038 40.8033173000000033, -81.4181968500000011 40.8033173000000033, -81.4169199699999950 40.8033173000000033, -81.4153238600000009 40.8033173000000033, -81.4134085299999981 40.8033173000000033, -81.4119398999999930 40.8033173000000033, -81.4119398999999930 40.8022284199999987, -81.4119398999999930 40.8015879000000012, -81.4119398999999930 40.8004349599999969, -81.4119398999999930 40.7996022800000020, -81.4119398999999930 40.7986415000000022, -81.4119398999999930 40.7978728799999999, -81.4119398999999930 40.7969121000000001, -81.4139192800000018 40.7969121000000001, -81.4148769499999929 40.7969121000000001, -81.4160899900000032 40.7969121000000001, -81.4178137899999967 40.7969121000000001, -81.4187714499999942 40.7969121000000001, -81.4199844999999982 40.7969121000000001, -81.4217084999999940 40.7969121000000001))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 13 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0099085-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f97r9d
title: Occurrence Download

description: A dataset containing 643 species occurrences available in GBIF matching the query:
{
 "and" : [
 "MediaType is Image",
 "TaxonKey is Acanthurus tractus Poey, 1860"
 ]
}

 The dataset includes 643 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073064-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4mguvf
title: Occurrence Download

description: A dataset containing 1416 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Luma apiculata (DC.) Burret"
 ]
}

 The dataset includes 1416 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0099092-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rrdzax
title: Occurrence Download

description: A dataset containing 627 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is one of (Tlacuatzin canescens (J.A.Allen, 1893), Theobroma cacao L.)",
 "Year 1960-2022"
 ]
}

 The dataset includes 627 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0203425-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r7vdem
title: Occurrence Download

description: A dataset listing the 119588 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence, Machine Observation, Material sample, Specimen)"
 ]
}

 The dataset's 119588 records were derived from 2245 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073013-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/bebyiapk
title: REMBRANDT study dataset

description: The REMBRANDT study dataset is a comprehensive resource for brain cancer research.
DOI: 10.57702/yp1p8kla
title: A pso approach for solving vrptw with real case study

description: The dataset is a vehicle routing problem with time windows benchmark. It provides a set of instances with different characteristics and a solution to the problem.
DOI: 10.57702/bvy4hd89
title: UAM Landing Trajectories

description: The dataset used in the paper is a collection of expert preferences for Urban Air Mobility (UAM) landing trajectories.
DOI: 10.57702/7f3fjgbd
title: MNIST and celebA

description: MNIST and celebA datasets were used to train and evaluate the proposed QDCGAN architecture.
DOI: 10.57702/zv1xmcyy
title: Motor Bearing Fault Dataset

description: The dataset is used for fault diagnosis, medical monitoring, and behavior recognition.
DOI: 10.5281/zenodo.17984369
title: Raw data for Solution-Based Fabrication of High-Performance K0.5Na0.5NbO3 Thin Films for Surface Haptics

description: The following raw data are the basis of the paper "Solution-Based Fabrication of High-Performance K0.5Na0.5NbO3 Thin Films for Surface Haptics" published in the Journal of the European Ceramic Society in 2026 (DOI: 10.1016/j.jeurceramsoc.2025.118077).
description: B. Mandal and S. Glinsek acknowledge Luxembourg National Research Fund (FNR) for financial support through the project INTER/NWO/20/15079143/TRICOLOR. J. Cardoletti and S. Glinsek acknowledge FNR for financial support through the project FLASHPOX (C21/MS/16215707). FILAB laboratory is acknowledged for performing ICP-OES analysis.
DOI: 10.5281/zenodo.17984368
title: Raw data for Solution-Based Fabrication of High-Performance K0.5Na0.5NbO3 Thin Films for Surface Haptics

description: The following raw data are the basis of the paper "Solution-Based Fabrication of High-Performance K0.5Na0.5NbO3 Thin Films for Surface Haptics" published in the Journal of the European Ceramic Society in 2026 (DOI: 10.1016/j.jeurceramsoc.2025.118077).
description: B. Mandal and S. Glinsek acknowledge Luxembourg National Research Fund (FNR) for financial support through the project INTER/NWO/20/15079143/TRICOLOR. J. Cardoletti and S. Glinsek acknowledge FNR for financial support through the project FLASHPOX (C21/MS/16215707). FILAB laboratory is acknowledged for performing ICP-OES analysis.
DOI: 10.57702/7ho00o8w
title: QU-BraTS

description: The QU-BraTS dataset is a segmentation dataset composed of cranial MRI scans.
DOI: 10.57702/mex3huh1
title: FFIW10K

description: A novel large-scale dataset for face forgery detection in multi-person scenarios, comprising 10,000 high-quality forgery videos with an average of three human faces in each frame.
DOI: 10.57702/724vsgla
title: Diggs dataset

description: The dataset used for testing the sLDA model [16].
DOI: 10.57702/ofrtlkeb
title: Graph-based Molecular Representation Learning

description: Molecular representation learning (MRL) is a key step to build the connection between machine learning and chemical science.
DOI: 10.57702/vc3fghao
title: Wind Speed Prediction

description: The dataset contains hourly data of several weather variables acquired from multiple weather stations, wind speed values are predicted for multiple time steps ahead.
DOI: 10.6084/m9.figshare.31017898
title: CULVERT-v01: An Open-Source Web Application for Assessing Culvert Vulnerability to Floods and Flood induced Erosion

description: CULVERT enables practitioners to evaluate culvert vulnerability to flooding, sedimentation, and debris flowhazards. The platform incorporates advanced watershed delineation using digital elevation models, multi-methodhydrologic analysis—including non-stationary regional frequency analysis, rational method, and graphical peakdischarge estimation—and hydraulic capacity assessment based on Federal Highway Administration guidelines.Additional modules support streambank erosion vulnerability analysis, Revised Universal Soil Loss Equation(RUSLE) implementation, and watershed debris flow modeling.CULVERT features a fully dynamic and interactive visualization interface, automated technical reporting, androbust data management capabilities. By integrating diverse analytical tools within a user-friendly environment,the platform provides resource managers, transportation engineers, and environmental professionals with ascientifically grounded decision-support system for assessing and mitigating infrastructure vulnerabilities underevolving climate conditions. The application is publicly accessible at https://culvert-at-risk.org, and the sourcecode is available via GitHub to promote transparency and reproducibility.
DOI: 10.57702/jsh3rod0
title: Angiodysplasia Detection and Localization

description: A dataset for angiodysplasia detection and localization using deep convolutional neural networks.
DOI: 10.6084/m9.figshare.31017898.v1
title: CULVERT-v01: An Open-Source Web Application for Assessing Culvert Vulnerability to Floods and Flood induced Erosion

description: CULVERT enables practitioners to evaluate culvert vulnerability to flooding, sedimentation, and debris flowhazards. The platform incorporates advanced watershed delineation using digital elevation models, multi-methodhydrologic analysis—including non-stationary regional frequency analysis, rational method, and graphical peakdischarge estimation—and hydraulic capacity assessment based on Federal Highway Administration guidelines.Additional modules support streambank erosion vulnerability analysis, Revised Universal Soil Loss Equation(RUSLE) implementation, and watershed debris flow modeling.CULVERT features a fully dynamic and interactive visualization interface, automated technical reporting, androbust data management capabilities. By integrating diverse analytical tools within a user-friendly environment,the platform provides resource managers, transportation engineers, and environmental professionals with ascientifically grounded decision-support system for assessing and mitigating infrastructure vulnerabilities underevolving climate conditions. The application is publicly accessible at https://culvert-at-risk.org, and the sourcecode is available via GitHub to promote transparency and reproducibility.
DOI: 10.57702/b2dqh5fh
title: ACRONYM

description: A large-scale grasp dataset based on simulation.
DOI: 10.57702/gmxawg9n
title: Novel Word Detection in Separable Topic Models

description: The dataset used in this paper for novel word detection in separable topic models.
DOI: 10.57745/1hxxe8
title: fermented_vegetables_gene_catalog_gtdb_classification_V1_1_1.tab

description: Tabular file with GTDB-based taxonomy of the 91 species annotated by F3M on the fermented vegetables microbiomes gene catalogs. To be used as input of f3mr R package.
DOI: 10.57745/dmdrji
title: fermented_vegetables_microbiomes_specIds_F3M_genome_list_V1_1_1.tsv

description: :unav
DOI: 10.57745/8ilhft
title: fermented_vegetables_microbiomes_gene_catalog_F3M_annotations_V1_1_0.tab

description: Tabular file containing F3M-based annotations for all genes in the fermented vegetables microbiome catalog. This file is to be used as input file in the f3mr R package.
DOI: 10.57702/sjiysqbp
title: Generative Video Diffusion for Unseen Cross-Domain Video Moment Retrieval

description: Video Moment Retrieval (VMR) requires precise modelling of fine-grained moment-text associations to capture intricate visual-language relationships.
DOI: 10.57745/ijapfh
title: fermented_vegetables_microbiomes_F3M_gene_catalog_v1_1_1.fasta.gz

description: Fasta file containing 268,696 genes from 91 species with F3M functional annotations (v 1.1.1). This file is to be used for mapping metatranscriptomic or metagenomic reads with F3M_builder.
DOI: 10.57745/ngdgy0
title: fermented_vegetables_microbiomes_F3M_gene_catalog_V1_1_0.fasta.gz

description: Fasta file containing 268,791 genes from 91 species with F3M functional annotations. This file is to be used for mapping metatranscriptomic or metagenomic reads with F3M_builder
DOI: 10.15468/dl.webqzp
title: Occurrence Download

description: A dataset containing 128364 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Xerces Society - Bumble Bee Watch"
 ]
}

 The dataset includes 128364 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079856-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/zunbs0
title: fermented_vegetables_microbiomes_gene_catalog_F3M_annotations_V1_1_1.tab

description: Tabular file containing F3M-based annotations for all genes in the fermented vegetables microbiome catalog. This file is to be used as input file in the f3mr R package.
DOI: 10.57702/wovfsa9k
title: Privacy Performance of MIMO Dual-Functional Radar-Communications with Internal Adversary

description: The dataset used in this paper for evaluating the privacy performance of MIMO dual-functional radar-communications with internal adversary.
DOI: 10.57745/ioadxw
title: fermented_vegetables_microbiomes_F3M_gene_catalog_V1.1.1

description: This ready-to-use gene catalog with 268,696 F3M-inferred (version 1.1.1) functional annotations can directly be used for mapping of metatranscriptomic fastQ reads and gene expression data analysis. The catalogs has been constructed from the pangenome data of 91 bacterial species (=96 specI) among the most commonly found in fermented vegetables related microbiomes. The species are listed in the metadata file available with the catalog (fermented_vegetables_genes_catalog_F3M_genome_list_V1_1_1.tsv). The catalog is made of three files : (1) fermented_vegetables_microbiomes_genes_catalogs.fasta; (2) fermented_vegetables_microbiomes_f3m_genes_catalog_V1_1_1_funct_annotations.tsv (for the F3M annotations) and (3) fermented_vegetables_microbiomes_f3m_genes_catalog_V1_1_1_gtdb_classification.tsv (for the GTDB taxonomy).
DOI: 10.5517/cc7rxvq
title: CCDC 231534: Experimental Crystal Structure Determination

description: Related Article: A.Angeloni, P.C.Crawford, A.G.Orpen, T.J.Podesta, B.J.Shore|2004|Chem.-Eur.J.|10|3783|doi:10.1002/chem.200400165
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: 10.57702/3aaexs6k
title: COVID-19 Hospital Demand Dataset

description: The dataset used in the paper is a collection of COVID-19 hospital demand data, including confirmed cases, deaths, and hospital occupancy.
DOI: 10.57702/z7vb6jcx
title: Modified IEEE 37-bus system

description: The dataset used in the paper is a modified IEEE 37-bus system with tie-line switches.
DOI: 10.5517/ccdc.csd.cc2k1jkq
title: CCDC 2354963: Experimental Crystal Structure Determination

description: Related Article: Kengo Hanaya, Kazuaki Taguchi, Yuki Wada, Masaki Kawano, Shuhei Higashibayashi|2024|ChemRxiv|||doi:10.26434/chemrxiv-2024-sb5hw
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: 10.57702/eilps8ro
title: Vehicle Color Recognition on an Urban Road by Feature Context

description: Vehicle color recognition on an urban road by feature context
DOI: 10.15156/bio/sh0153455.10fu
title: SH0153455.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0153456.10fu
title: SH0153456.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0153457.10fu
title: SH0153457.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0153458.10fu
title: SH0153458.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0153459.10fu
title: SH0153459.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.