cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16934374
title: Euclid Primes computed based on the Miller-Rabin Algorithm and Pollard's Rho Algorithm

description: Euclid Numbers are a special sequence of numbers defined by taking the product of the first n prime numbers and adding 1. Some Euclid Numbers are prime. These are called Euclid Primes. Not all Euclid Numbers are prime, but the construction guarantees that each new Euclid number is coprime with all previous primes. This idea was first used by Euclid in his proof that there are infinitely many prime numbers.

Whether or not Euclid Primes are infinite is still an open problem and requires proof. This dataset was generated using the Miller-Rabin Algorithm and Pollard's Rho Algorithm. The codes used to generate the data are available in this GitHub repository.

The dataset is updated as the number of calculations increases.

Found primes (by number of primes used, idx): 1, 2, 3, 4, 5, 11, 75, 171, 172, 384, 457, 616, 643, 1391, 1613, 2122 (16 integer)Numer of primes used (calculated): 2636
DOI: 10.15468/dl.fx8h6r
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Setaria sphacelata",
 "Country is Palau",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036466-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9agfqj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Setaria sphacelata",
 "Country is Timor-Leste",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036467-250811113504898/datasets/export for details.
DOI: 10.15468/dl.cqxssp
title: Occurrence Download

description: A dataset containing 20410 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Dicentra formosa"
 ]
}

 The dataset includes 20410 records from 178 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036464-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bm6ydn
title: Occurrence Download

description: A dataset containing 1142 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salsola soda"
 ]
}

 The dataset includes 1142 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036468-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12848437
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.695q4x
title: Occurrence Download

description: A dataset containing 3382 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ctenomys"
 ]
}

 The dataset includes 3382 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036470-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qeyskz
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Setaria sphacelata",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 64 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036471-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.skun6e
title: Occurrence Download

description: A dataset containing 45948 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sambucus canadensis"
 ]
}

 The dataset includes 45948 records from 412 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036469-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hw64qk
title: Occurrence Download

description: A dataset containing 66775 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lythrum portula"
 ]
}

 The dataset includes 66775 records from 931 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036344-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4bpyph
title: Occurrence Download

description: A dataset containing 8557 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is cdef28b1-db4e-4c58-aa71-3c5238c2d0b5",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 8557 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038517-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uaty5n
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (, , Phoebe holosericea, , , , )",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038518-251025141854904/datasets/export for details.
DOI: 10.5281/zenodo.17626826
title: Peritumoral Niche Predicts Response to Adjuvant Combination Therapy in Colorectal Liver Metastases

description: Adjuvant therapy (AT) improves outcomes for colorectal liver metastases (CRLM), yet predicting benefit, especially from adding targeted agents (Cetuximab or Bevacizumab) to chemotherapy, remains challenging. The spatial organization of the tumor microenvironment (TME) influences treatment response, yet its role in CRLM AT efficacy is unclear. We performed imaging mass cytometry (IMC) on 311 regions across tumor core, invasive margin, and peritumor (PT) tissues from 35 AT-treated CRLM patients. Systematic spatial proteomic analysis revealed distinct cholangiocyte-anchored niches within the PT region associated with recurrence-free survival (RFS): an "Immune-Rich" (PIR-Niche) enriched with B cells and CD8+ T cells, and a "Stromal-Metabolic" (PSM-Niche) dominated by CD163+ macrophages and Collagen-I+ stromal cells. The Immune-Stromal Ratio (ISR), a metric quantifying the relative abundance of these two niches, predicted RFS specifically in patients receiving combination therapy (p=0.044). To enhance clinical applicability, we developed SpMap, a deep learning tool inferring the ISR from routine H&E slides. The SpMap-derived ISR significantly predicted RFS in discovery (p=0.036) and independent test (n=95, p=0.023) cohorts, identifying high-ISR patients deriving significant benefit from combination therapy. Integrated spatial and single-cell transcriptomics confirmed distinct cellular compositions and revealed enrichment of angiogenesis pathways in PIR-Niches and mTORC1 signaling in PSM-Niches. Our work explores the spatial architecture within peritumor, captured by the ISR, as a potential predictor of adjuvant combination therapy response in CRLM. Furthermore, SpMap provides a H&E-based tool for patient stratification, while uncovering potential targetable pathways driving niche function.
DOI: 10.5281/zenodo.17554146
title: Underwater images collected by a Kite surf in Anse-La-Raie, Mauritius - 2018-08-19

description: This dataset was collected by a Kite surf in Anse-La-Raie, Mauritius - 2018-08-19. 

            Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation.
            These images can be annotated and shared to train IA models which can in turn predict the objects on the images.
            We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps.

            This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. 
            Methods, tools and scientific objectives are also described in a dedicated data paper.

            
                
                                       
                
                
 GPS information: 

                GPX file from Garmin watch.
            
                    
                

                
            

            
 Generic folder structure 
            
            YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number 
            ├── DCIM :  folder to store videos and photos depending on the media collected. 
            ├── GPS :  folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. 
            │   ├── BASE :  files coming from rtk station or any static positioning instrument. 
            │   └── DEVICE : files coming from the device. 
            ├── METADATA : folder with general information files about the session. 
            ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. 
            │   ├── BATHY :  output folder for bathymetry raw data extracted from mission logs. 
            │   ├── FRAMES :  output folder for georeferenced frames extracted from DCIM videos. 
            │   ├── IA :  destination folder for image recognition predictions. 
            │   └── PHOTOGRAMMETRY :  destination folder for reconstructed models in photogrammetry. 
            └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot,  mission plan etc.).       
            

            
 Software 
            All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!
DOI: 10.5281/zenodo.17627415
title: Underwater images collected by a Kite surf in Anse-La-Raie, Mauritius - 2018-08-19

description: This dataset was collected by a Kite surf in Anse-La-Raie, Mauritius - 2018-08-19. 

            Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation.
            These images can be annotated and shared to train IA models which can in turn predict the objects on the images.
            We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps.

            This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. 
            Methods, tools and scientific objectives are also described in a dedicated data paper.

            
                
                                       
                
                
 GPS information: 

                GPX file from Garmin watch.
            
                    
                

                
            

            
 Generic folder structure 
            
            YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number 
            ├── DCIM :  folder to store videos and photos depending on the media collected. 
            ├── GPS :  folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. 
            │   ├── BASE :  files coming from rtk station or any static positioning instrument. 
            │   └── DEVICE : files coming from the device. 
            ├── METADATA : folder with general information files about the session. 
            ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. 
            │   ├── BATHY :  output folder for bathymetry raw data extracted from mission logs. 
            │   ├── FRAMES :  output folder for georeferenced frames extracted from DCIM videos. 
            │   ├── IA :  destination folder for image recognition predictions. 
            │   └── PHOTOGRAMMETRY :  destination folder for reconstructed models in photogrammetry. 
            └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot,  mission plan etc.).       
            

            
 Software 
            All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!
DOI: 10.5281/zenodo.17627524
title: llm-efficient-design
DOI: 10.5281/zenodo.17627525
title: llm-efficient-design
DOI: 10.15468/dl.redmf4
title: Occurrence Download

description: A dataset containing 635 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Beringraja pulchra"
 ]
}

 The dataset includes 635 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038519-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5mg7tt
title: Occurrence Download

description: A dataset containing 156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Ageratina adenophora"
 ]
}

 The dataset includes 156 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038520-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17624882
title: Time series of light-intensity data measured with a HOBO sensor

description: Time series of light-intensity data measured with a HOBO sensor (from 16/10/2023 to 04/12/2024) at two localities in the Ría de Vigo where an artificial reef was deployed.
DOI: 10.5281/zenodo.17624883
title: Time series of light-intensity data measured with a HOBO sensor

description: Time series of light-intensity data measured with a HOBO sensor (from 16/10/2023 to 04/12/2024) at two localities in the Ría de Vigo where an artificial reef was deployed.
DOI: 10.15468/dl.2c4z9z
title: Occurrence Download

description: A dataset containing 945 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Paratrechina longicornis"
 ]
}

 The dataset includes 945 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038521-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n8rec6
title: Occurrence Download

description: A dataset containing 5775 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Triodanis perfoliata biflora, Cyperus alternifolius flabelliformis, Mimosa diplotricha inermis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Material sample)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 5775 records from 313 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038522-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17625024
title: Data on temperature, salinty, conductivity and velocity.

description: Time series from a sensor located on an artificial reef next to a mussel farm and on a sandy bottom, from 31/01/2024 to 04/12/2024, at approximately 15 m depth
DOI: 10.5281/zenodo.17625025
title: Data on temperature, salinty, conductivity and velocity.

description: Time series from a sensor located on an artificial reef next to a mussel farm and on a sandy bottom, from 31/01/2024 to 04/12/2024, at approximately 15 m depth
DOI: 10.15468/dl.33bqsk
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Nymphaea divaricata"
 ]
}

 The dataset includes 40 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038524-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4x8d26
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "Geometry POLYGON ((-73.173752 45.53377, -73.124313 45.53377, -73.124313 45.569832, -73.173752 45.569832, -73.173752 45.53377))",
 "TaxonKey is Tracheophyta",
 "Year is greater than 2010",
 "GadmGid is CAN.11_1",
 "DatasetKey is one of (Herbier Louis-Marie (QFA) - Collection de plantes vasculaires, Herbier du Québec (QUE) - Collection de plantes vasculaires, Jardin botanique de Montréal (JBM), Marie-Victorin Herbarium (MT) - Plantes vasculaires, National Collection of Vascular Plants (DAO), UQTR-herbarium (Herbier Estelle-Lacoursière))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 41 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038525-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17627497
title: Questionnaire on the Impact of Social Media Ads on Purchase Decisions in Peru's Retail Sector
DOI: 10.5281/zenodo.17627498
title: Questionnaire on the Impact of Social Media Ads on Purchase Decisions in Peru's Retail Sector
DOI: 10.15468/dl.2yty58
title: Occurrence Download

description: A dataset containing 7871991 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Filago lutescens, Berberis vulgaris, Argentina anserina, Solanum arcanum, Vaccinium ovalifolium, Euphorbia maculata, Galium aparine, Nicotiana sylvestris, Carex elata, Calluna vulgaris, Alopecurus aequalis, Chrysojasminum bignoniaceum, Camellia chekiangoleosa, Nicandra physalodes, Trifolium dubium, Salix herbacea, Veronica verna, Fagus sylvatica, Gaultheria shallon, Reichardia ligulata, Chrysanthemum indicum, Linderniella brevidens, Rhododendron simsii, Chamaelirium luteum, Chenopodium album, Narthecium ossifragum, Cochlearia groenlandica, Abrus precatorius, Gossypium hirsutum, Euclidium syriacum, Galium spurium, Silene conica, Prunus avium, Pterocarya stenoptera, Bischofia polycarpa, Bidens amplissima, Spergula arvensis, Cardiospermum halicacabum, Populus tremula, Teucrium scorodonia, Epilobium ciliatum, Zelkova abelicea, Vicia parviflora, Liquidambar chinensis, Oxytropis ochrocephala, Ostryopsis intermedia, Ormosia boluoensis, Lactuca serriola, Castanopsis hystrix, Salix rehderiana)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7871991 records from 6485 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038513-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18251814
title: Carex x otrubae Podp. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:44
DOI: 10.5281/zenodo.18251813
title: Carex x otrubae Podp. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:44
DOI: 10.5281/zenodo.18251783
title: СОВЕРШЕНСТВОВАНИЕ КОММУНИКАТИВНОЙ КОМПЕТЕНЦИИ У СТУДЕНТОВ ДИПЛОМАТИЧЕСКОГО ПРОФИЛЯ В ПРОЦЕССЕ ИЗУЧЕНИЯ ГЛАГОЛОВ РУССКОГО ЯЗЫКА

description: В статье рассматриваются теоретические и методические аспекты совершенствования коммуникативной компетенции студентов дипломатического профиля в процессе изучения глагольной системы русского языка. Подчёркивается ведущая роль глагола как ключевой грамматической категории, обеспечивающей точность, логичность, динамичность и прагматическую направленность профессиональной речи. Анализируются основные трудности усвоения глагольных форм в условиях билингвальной образовательной среды, а также предлагаются эффективные методические приёмы, направленные на формирование устойчивых навыков профессионального общения. Результаты исследования подтверждают, что целенаправленная работа с глагольными формами способствует развитию речевой активности, повышению качества устной и письменной коммуникации будущих дипломатов.
DOI: 10.5281/zenodo.18251784
title: СОВЕРШЕНСТВОВАНИЕ КОММУНИКАТИВНОЙ КОМПЕТЕНЦИИ У СТУДЕНТОВ ДИПЛОМАТИЧЕСКОГО ПРОФИЛЯ В ПРОЦЕССЕ ИЗУЧЕНИЯ ГЛАГОЛОВ РУССКОГО ЯЗЫКА

description: В статье рассматриваются теоретические и методические аспекты совершенствования коммуникативной компетенции студентов дипломатического профиля в процессе изучения глагольной системы русского языка. Подчёркивается ведущая роль глагола как ключевой грамматической категории, обеспечивающей точность, логичность, динамичность и прагматическую направленность профессиональной речи. Анализируются основные трудности усвоения глагольных форм в условиях билингвальной образовательной среды, а также предлагаются эффективные методические приёмы, направленные на формирование устойчивых навыков профессионального общения. Результаты исследования подтверждают, что целенаправленная работа с глагольными формами способствует развитию речевой активности, повышению качества устной и письменной коммуникации будущих дипломатов.
DOI: 10.5281/zenodo.18251820
title: Carica L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:44
DOI: 10.5281/zenodo.18251819
title: Carica L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:44