cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.sfwg4s
title: Occurrence Download

description: A dataset containing 163637 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Psittacula krameri (Scopoli, 1769)",
 "HasCoordinate is true",
 "Year is greater than 1989",
 "Year is less than 2026",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is Absent"
 ]
 }
 },
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 163637 records from 404 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005890-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8fpp6y
title: Occurrence Download

description: A dataset containing 277 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pternistis erckelii (Rüppell, 1835)",
 "HasCoordinate is true",
 "Year is greater than 1989",
 "Year is less than 2026",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is Absent"
 ]
 }
 },
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 277 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005895-250515123054153/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/11863963
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.mpg3cu
title: Occurrence Download

description: A dataset containing 5849 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pterocles alchata (Linnaeus, 1766)",
 "HasCoordinate is true",
 "Year is greater than 1989",
 "Year is less than 2026",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is Absent"
 ]
 }
 },
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 5849 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005896-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/hbz7x1
title: Election Results

description: This dataset was collected from the official website of Turkish Supreme Electoral Council (YSK), covering several electoral cycles for Istanbul. These include the 2019 IBB election, the municipal council election, the district-level municipal elections, the 2023 general election, the 2024 IBB election, the municipal council election, and the district-level municipal elections.
DOI: 10.7910/dvn/loxwvg
title: Socio Economic Status Scores Dataset

description: Istanbul University's Socio-Economic Status score datasets, categorizing all 963 neighbors in Istanbul regarding their socio-economic development level.
DOI: 10.7910/dvn/fstttr
title: IBB Procurements Dataset

description: This data was extracted from the Electronic Public Procurement Platform. It contains tenders issued by IBB municipality-owned enterprises between March 31, 2014, and April 1, 2024. This filtering process yielded a total of 7,676 tenders.
DOI: 10.15468/dl.67eskn
title: Occurrence Download

description: A dataset containing 3527 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pterocles orientalis (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Year is greater than 1989",
 "Year is less than 2026",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is Absent"
 ]
 }
 },
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 3527 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005898-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3t5a2k
title: Occurrence Download

description: A dataset containing 6534 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prumnopitys taxifolia (Banks & Sol. ex D.Don) de Laub."
 ]
}

 The dataset includes 6534 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005899-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ezme88
title: Occurrence Download

description: A dataset containing 24566 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Nyctaginaceae"
 ]
}

 The dataset includes 24566 records from 292 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005900-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b8dsd6
title: Occurrence Download

description: A dataset containing 811928 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Lythrum L."
 ]
}

 The dataset includes 811928 records from 3009 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005894-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15478815
title: Underwater images collected by an Autonomous Surface Vehicle in St-Leu, Réunion - 2025-05-19

description: This dataset was collected by an Autonomous Surface Vehicle in St-Leu, Réunion - 2025-05-19. 

            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.

            

            
 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!
description: The Plancha project is co-financed by the Prefecture of Reunion as part of a 2019-2022 convergence and transformation contract, measure 3.3.1.1
DOI: 10.15468/dl.c6re6x
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (28eb1a3f-1c15-4a95-931a-4af90ecb574d, da86174a-a605-43a4-a5e8-53d484152cd3)",
 "TaxonKey is Schizopepon bryoniifolius Maxim."
 ]
}

 The dataset includes 37 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014765-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15479100
title: Underwater images collected by an Autonomous Surface Vehicle in St-Leu, Réunion - 2025-05-19

description: This dataset was collected by an Autonomous Surface Vehicle in St-Leu, Réunion - 2025-05-19. 

            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.

            

            
 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!
description: The Plancha project is co-financed by the Prefecture of Reunion as part of a 2019-2022 convergence and transformation contract, measure 3.3.1.1
DOI: 10.15468/dl.usx74j
title: Occurrence Download

description: A dataset containing 36817 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36817 records from 429 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006233-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18254279
title: Chusquea Kunth. 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.18254280
title: Chusquea Kunth. 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.18254217
title: Supplementary file – Psychological Empowerment
DOI: 10.5281/zenodo.18254216
title: Supplementary file – Psychological Empowerment
DOI: 10.15468/dl.pserdb
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phoxinus phoxinus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1920",
 "Year is less than or equal to 1924"
 ]
}

 The dataset includes 39 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011200-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18254284
title: Chusquea juergensii Hack. 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.18254283
title: Chusquea juergensii Hack. 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: 10.15468/dl.ttgvwm
title: Occurrence Download

description: A dataset listing the 1227 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-0.18795 46.24376,-0.18831 46.24348,-0.19181 46.24061,-0.19495 46.23754,-0.19772 46.23431,-0.20008 46.23092,-0.20203 46.2274,-0.20355 46.22379,-0.20463 46.2201,-0.20465 46.22002,-0.20524 46.21658,-0.20546 46.21312,-0.20529 46.20966,-0.20473 46.20622,-0.2038 46.20282,-0.2025 46.19948,-0.20083 46.19622,-0.19881 46.19306,-0.19644 46.19002,-0.19374 46.18711,-0.19073 46.18435,-0.18742 46.18176,-0.18384 46.17935,-0.18346 46.17912,-0.17954 46.17687,-0.17538 46.17484,-0.17101 46.17305,-0.16644 46.17149,-0.16172 46.17019,-0.15686 46.16915,-0.1519 46.16838,-0.14687 46.16788,-0.1418 46.16766,-0.13672 46.16771,-0.13166 46.16804,-0.12665 46.16864,-0.12173 46.16952,-0.11691 46.17066,-0.11225 46.17205,-0.10775 46.1737,-0.10345 46.17559,-0.09938 46.1777,-0.09556 46.18003,-0.09202 46.18256,-0.09163 46.18286,-0.08828 46.18566,-0.08527 46.18865,-0.08262 46.19179,-0.08034 46.19507,-0.07845 46.19847,-0.07696 46.20196,-0.07588 46.20553,-0.07587 46.20557,-0.07523 46.209,-0.07498 46.21246,-0.0751 46.21592,-0.07561 46.21936,-0.0765 46.22276,-0.07777 46.22611,-0.0794 46.22938,-0.08139 46.23255,-0.08372 46.23561,-0.08639 46.23854,-0.08937 46.24131,-0.09265 46.24392,-0.09621 46.24634,-0.0966 46.24659,-0.10048 46.24885,-0.10461 46.2509,-0.10896 46.25271,-0.11349 46.25429,-0.11819 46.25561,-0.12303 46.25668,-0.12797 46.25747,-0.13298 46.258,-0.13804 46.25826,-0.14312 46.25824,-0.14817 46.25795,-0.15318 46.25738,-0.1581 46.25654,-0.16292 46.25544,-0.1676 46.25408,-0.17211 46.25247,-0.17643 46.25062,-0.18052 46.24854,-0.18437 46.24625,-0.18795 46.24376))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is 1928bdf0-f5d2-11dc-8c12-b8a03c50a862",
 "Year 2005-2026"
 ]
}

 The dataset's 1227 records were derived from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011190-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7uff9d
title: Occurrence Download

description: A dataset containing 283 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.47.57_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 283 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011201-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hpv7yp
title: Occurrence Download

description: A dataset containing 475 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chinese Taipei",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eurya leptophylla"
 ]
}

 The dataset includes 475 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011203-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r5s77u
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Limnophila sessiliflora",
 "Year 1960-2010"
 ]
}

 The dataset includes 54 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011202-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18254300
title: Chusquea ramosissima Lindm. 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.18254299
title: Chusquea ramosissima Lindm. 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: 10.34740/kaggle/dsv/14505156
title: Public Opinion on Climate Change (Updated Daily)
DOI: 10.5281/zenodo.16564656
title: Tirabrutinib-Anthracycline Interactions in the Brain Tumor Microenvironment: A Focus on Metabolic Inactivation and Resistance

description: source data for paper Tirabrutinib - anthracycline interactions in the brain tumor microenvironment: a focus on metabolic inactivation and resistance
DOI: 10.5281/zenodo.16564655
title: Tirabrutinib-Anthracycline Interactions in the Brain Tumor Microenvironment: A Focus on Metabolic Inactivation and Resistance

description: source data for paper Tirabrutinib - anthracycline interactions in the brain tumor microenvironment: a focus on metabolic inactivation and resistance
DOI: 10.57739/3727
title: Monitoring dataset from an office room in a real operating building, suitable for state-space energy modelling
DOI: 10.5281/zenodo.18254305
title: Chusquea tenella Nees. 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.18254306
title: Chusquea tenella Nees. 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: 10.15468/dl.7hg6z9
title: Occurrence Download

description: A dataset containing 870 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phoxinus phoxinus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1925",
 "Year is less than or equal to 1929"
 ]
}

 The dataset includes 870 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011204-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17631/rd-2026-0002-ddat
title: Post-legislative scrutiny in the Scottish Parliament - committee recommendations

description: This dataset contains the outputs from the quantitative content analysis of 253 committee recommendations from across ten post-legislative scrutiny inquiries during Session 5 of the Scottish Parliament.
DOI: 10.6084/m9.figshare.31005253
title: DeePMD/LAMMPS

description: <b>(1) Folder contents: </b>01_deepmd: Contains all input files required for training the Neural Network Potential (NNP) model.02_nnp: Houses the final training dataset and the resulting trained NNP model. 03_lammps: Provides example input files for conducting NNP-based molecular dynamics simulations using LAMMPS.<b>(2) Code availability: </b>Electronic structure calculations used VASP (version 5.4.4; https://www.vasp.at). Molecular dynamics simulations used LAMMPS (version 2Aug2023; https://www.lammps.org). Neural network interatomic potentials were developed using DeePMD-kit (version 2.2.10) and DP-GEN (version 0.10.2) (https://github.com/deepmodeling). Atomistic structures were rendered and visualized using OVITO (version 3.14.1; https://www.ovito.org).
DOI: 10.6084/m9.figshare.31005253.v1
title: DeePMD/LAMMPS

description: <b>(1) Folder contents: </b>01_deepmd: Contains all input files required for training the Neural Network Potential (NNP) model.02_nnp: Houses the final training dataset and the resulting trained NNP model. 03_lammps: Provides example input files for conducting NNP-based molecular dynamics simulations using LAMMPS.<b>(2) Code availability: </b>Electronic structure calculations used VASP (version 5.4.4; https://www.vasp.at). Molecular dynamics simulations used LAMMPS (version 2Aug2023; https://www.lammps.org). Neural network interatomic potentials were developed using DeePMD-kit (version 2.2.10) and DP-GEN (version 0.10.2) (https://github.com/deepmodeling). Atomistic structures were rendered and visualized using OVITO (version 3.14.1; https://www.ovito.org).
DOI: 10.6084/m9.figshare.31005253.v2
title: DeePMD/LAMMPS

description: <b>(1) Folder contents: </b>01_deepmd: Contains all input files required for training the Neural Network Potential (NNP) model.02_nnp: Houses the final training dataset and the resulting trained NNP model. 03_lammps: Provides example input files for conducting NNP-based molecular dynamics simulations using LAMMPS.<b>(2) Code availability: </b>Electronic structure calculations used VASP (version 5.4.4; https://www.vasp.at). Molecular dynamics simulations used LAMMPS (version 2Aug2023; https://www.lammps.org). Neural network interatomic potentials were developed using DeePMD-kit (version 2.2.10) and DP-GEN (version 0.10.2) (https://github.com/deepmodeling). Atomistic structures were rendered and visualized using OVITO (version 3.14.1; https://www.ovito.org).