cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26180/30632909
title: Fiji and Friends Resources (v1.2)

description: Demo images and other resources to accomany the Fiji and Firneds Training Manual (https://doi.org/10.26180/30632810)
DOI: 10.26180/30632909.v1
title: Fiji and Friends Resources (v1.2)

description: Demo images and other resources to accomany the Fiji and Firneds Training Manual (https://doi.org/10.26180/30632810)
DOI: 10.15468/dl.3znb7r
title: Occurrence Download

description: A dataset containing 3861 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (iNaturalist Research-grade Observations)",
 "Geometry POLYGON(( -101.541182307617 35.5316975832769 , -99.88785649658 35.5316975832769 , -99.88785649658 36.059532982761 , -101.541182307617 36.059532982761 , -101.541182307617 35.5316975832769 ))",
 "Year is greater than or equal to 2016"
 ]
}

 The dataset includes 3861 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038395-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jrzpup
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Indonesia",
 "Geometry POLYGON((108.59691 -4.5056,119.24604 -4.5056,119.24604 2.97507,108.59691 2.97507,108.59691 -4.5056))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Barringtonia racemosa"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038396-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12527963
title: Spatial and temperal evolution characteristics of Salween Delta from 1973 to 2021
DOI: 10.15468/dl.j7txhh
title: Occurrence Download

description: A dataset containing 6387 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-65.93385 -2.96516,-65.99883 -3.02919,-66.06696 -3.28314,-66.1806 -3.46045,-66.30072 -3.6717,-66.54924 -4.15218,-65.60328 -4.95023,-65.05715 -4.27618,-64.79639 -3.95638,-64.99811 -3.76942,-65.07191 -3.59722,-64.95875 -3.08061,-65.17218 -2.82465,-65.17957 -2.74331,-65.33486 -2.78768,-65.39935 -2.6908,-65.2831 -2.59541,-65.34226 -2.4697,-65.39599 -2.45437,-65.45318 -2.52886,-65.49755 -2.63239,-65.63066 -2.66196,-65.76352 -2.61909,-65.88005 -2.77932,-65.93385 -2.96516))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 6387 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038397-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17626116
title: Scalable Vision-Guided Crop Yield Estimation Dataset

description: This dataset contains field photographs and metadata of maize and rice fields collected in Zimbabwe (2024) and Nigeria (2022) for crop yield estimation. It includes approximately 7,000 field images along with a CSV file containing plot-level metadata and crop-cut yield measurements. All images were manually screened to remove identifiable individuals before public release. The dataset supports research in computer vision for agriculture and crop yield prediction. The data is released under a CC-BY 4.0 license.
DOI: 10.5281/zenodo.17626117
title: Scalable Vision-Guided Crop Yield Estimation Dataset

description: This dataset contains field photographs and metadata of maize and rice fields collected in Zimbabwe (2024) and Nigeria (2022) for crop yield estimation. It includes approximately 7,000 field images along with a CSV file containing plot-level metadata and crop-cut yield measurements. All images were manually screened to remove identifiable individuals before public release. The dataset supports research in computer vision for agriculture and crop yield prediction. The data is released under a CC-BY 4.0 license.
DOI: 10.15468/dl.3mcyha
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Nymphaea stuhlmannii"
 ]
}

 The dataset includes 51 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038399-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wp8mhm
title: Occurrence Download

description: A dataset containing 305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.02741 6.44096,-74.58909 6.44096,-74.58909 6.83234,-75.02741 6.83234,-75.02741 6.44096))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Squamata"
 ]
}

 The dataset includes 305 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038400-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17626836
title: Tabulated Interview Data on Blockchain-Based Subsidized Fertilizer Distribution

description: This dataset contains the tabulated results of preliminary and final interviews conducted with key stakeholders involved in the planning, distribution, monitoring, and reporting of subsidized fertilizer in Indonesia. The interviews were collected as part of the study “Optimizing Transparency and Accountability in Subsidized Fertilizer Budget Distribution and Reporting through Blockchain Technology.”

Stakeholders interviewed include:





Officials from the Ministry of Agriculture




District-level Agricultural Departments




Field extension officers (PPL) and coordinators




Farmers




Registered fertilizer kiosks




PT Pupuk Indonesia (state-owned fertilizer producer)



The dataset captures detailed insights related to:





e-RDKK data preparation and verification




Allocation mechanisms for subsidized fertilizers




Supply chain distribution flows (producer → distributor → kiosk → farmer)




Redemption and transaction reporting mechanisms




Verification and reconciliation processes (i-Pubers, e-Verval, bank reporting)




Challenges such as data delays, manual documentation, digital literacy, and network limitations




Stakeholder perceptions of blockchain and subsidy tokenization for improving transparency, validation speed, and fraud detection



These interview responses support the analysis of governance, accountability, and data integrity gaps within the current fertilizer subsidy ecosystem and inform the proposed blockchain-based system architecture in the associated research paper.

The dataset is provided in PDF format containing structured tabulations of all interview answers.
DOI: 10.5281/zenodo.17626835
title: Tabulated Interview Data on Blockchain-Based Subsidized Fertilizer Distribution

description: This dataset contains the tabulated results of preliminary and final interviews conducted with key stakeholders involved in the planning, distribution, monitoring, and reporting of subsidized fertilizer in Indonesia. The interviews were collected as part of the study “Optimizing Transparency and Accountability in Subsidized Fertilizer Budget Distribution and Reporting through Blockchain Technology.”

Stakeholders interviewed include:





Officials from the Ministry of Agriculture




District-level Agricultural Departments




Field extension officers (PPL) and coordinators




Farmers




Registered fertilizer kiosks




PT Pupuk Indonesia (state-owned fertilizer producer)



The dataset captures detailed insights related to:





e-RDKK data preparation and verification




Allocation mechanisms for subsidized fertilizers




Supply chain distribution flows (producer → distributor → kiosk → farmer)




Redemption and transaction reporting mechanisms




Verification and reconciliation processes (i-Pubers, e-Verval, bank reporting)




Challenges such as data delays, manual documentation, digital literacy, and network limitations




Stakeholder perceptions of blockchain and subsidy tokenization for improving transparency, validation speed, and fraud detection



These interview responses support the analysis of governance, accountability, and data integrity gaps within the current fertilizer subsidy ecosystem and inform the proposed blockchain-based system architecture in the associated research paper.

The dataset is provided in PDF format containing structured tabulations of all interview answers.
DOI: 10.5281/zenodo.17595407
title: Underwater images collected by a Paddle in Le-Morne, Mauritius - 2018-02-25

description: This dataset was collected by a Paddle in Le-Morne, Mauritius - 2018-02-25. 

            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.17626768
title: Underwater images collected by a Paddle in Le-Morne, Mauritius - 2018-02-25

description: This dataset was collected by a Paddle in Le-Morne, Mauritius - 2018-02-25. 

            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: 10.15468/dl.qsy74f
title: Occurrence Download

description: A dataset containing 15257195 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((144.991526 -37.243251, 144.993623 -37.243021, 146.88411 -36.734134, 146.884996 -36.733554, 147.092891 -36.585581, 147.370115 -36.260601, 147.370757 -36.259438, 150.752426 -28.802755, 150.78736 -28.649831, 150.742149 -28.599236, 150.187921 -28.298712, 149.944968 -28.182995, 148.645435 -27.853177, 148.644414 -27.853056, 148.629346 -27.856635, 147.110306 -28.674916, 144.022812 -30.895485, 139.753525 -34.020134, 139.750382 -34.028171, 139.749664 -34.031239, 139.747269 -34.04467, 139.74707 -34.049362, 139.75119 -34.069843, 139.752014 -34.073936, 139.758026 -34.086937, 143.778743 -36.898965, 143.783196 -36.901777, 143.787026 -36.903618, 143.808979 -36.910418, 144.984793 -37.242448, 144.987363 -37.242971, 144.991526 -37.243251))"
 ]
}

 The dataset includes 15257195 records from 616 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038379-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.es7b7n
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Temelucha difficilis"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038404-251025141854904/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/13760832
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.6eru6u
title: Occurrence Download

description: A dataset containing 169 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ophion flavidus"
 ]
}

 The dataset includes 169 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038406-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2nm9bg
title: Occurrence Download

description: A dataset containing 2441 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Pinus hartwegii"
 ]
}

 The dataset includes 2441 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038407-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zrr5sy
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Archytas marmoratus"
 ]
}

 The dataset includes 105 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038408-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y4zj4h
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lixophaga diatraeae"
 ]
}

 The dataset includes 57 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038409-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rzwh7w
title: Occurrence Download

description: A dataset containing 339 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euplectrus platyhypenae"
 ]
}

 The dataset includes 339 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038410-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.j00186.00809
title: Dataset for the study of delocalization in the hot deformed hypernucleus $^{21}_\Lambda$Ne
title: Dataset for the study of delocalization in the hot deformed hypernucleus $^{21}_\Lambda$Ne

description: The dataset contains the temperature-dependent structural and clustering properties of the hypernucleus ^{21}_{\Lambda}, calculated within the framework of deformed finite-temperature Skyrme-Hartree-Fock. The SkI4 Skyrme force is employed for nucleon-nucleon interactions, and the NSC97f force is used for hyperon-nucleon interactions. The dataset includes nuclear deformation parameters, single-Λ binding energies, entropy values, and nucleon and hyperon density distributions at multiple temperature points. At low temperatures, the hypernucleus exhibits a strongly deformed ground state with pronounced α-cluster correlations and localized density distributions. As temperature increases, nuclear deformation decreases, nucleon and hyperon densities spread over the nuclear surface, and clustering gradually diminishes, disappearing entirely at T ≈ 2.8 MeV. Due to the lower excitation threshold of hyperons, hyperon radii display a stronger temperature dependence than nucleons. This dataset provides comprehensive information for analyzing the thermal evolution of hypernuclear structure and can be used for further studies on temperature effects in hypernuclei.
description: The dataset contains the temperature-dependent structural and clustering properties of the hypernucleus ^{21}_{\Lambda}, calculated within the framework of deformed finite-temperature Skyrme-Hartree-Fock. The SkI4 Skyrme force is employed for nucleon-nucleon interactions, and the NSC97f force is used for hyperon-nucleon interactions. The dataset includes nuclear deformation parameters, single-Λ binding energies, entropy values, and nucleon and hyperon density distributions at multiple temperature points. At low temperatures, the hypernucleus exhibits a strongly deformed ground state with pronounced α-cluster correlations and localized density distributions. As temperature increases, nuclear deformation decreases, nucleon and hyperon densities spread over the nuclear surface, and clustering gradually diminishes, disappearing entirely at T ≈ 2.8 MeV. Due to the lower excitation threshold of hyperons, hyperon radii display a stronger temperature dependence than nucleons. This dataset provides comprehensive information for analyzing the thermal evolution of hypernuclear structure and can be used for further studies on temperature effects in hypernuclei.
DOI: 10.57760/sciencedb.j00186.00807
title: Study on Transport Properties of Charged Particles in Plasmas Based on GEANT4 and the Modified LP Theory
title: 基于修正LP理论与GEANT4的等离子体中带电粒子输运特性研究

description: Energy transfer ratio of recoil deuterium-tritium ions, calculation results of deuterium-tritium stopping power in high-temperature dense environments, neutron energy spectra calculated by the improved geant4 of the present work, and comparison of neutron energy spectra calculated by the pre-improved geant4 with the neutron energy spectra of the measured data of Ref.
description: Energy transfer ratio of recoil deuterium-tritium ions, calculation results of deuterium-tritium stopping power in high-temperature dense environments, neutron energy spectra calculated by the improved geant4 of the present work, and comparison of neutron energy spectra calculated by the pre-improved geant4 with the neutron energy spectra of the measured data of Ref.
DOI: 10.15468/dl.wpyuca
title: Occurrence Download

description: A dataset containing 2460 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Copidosoma floridanum"
 ]
}

 The dataset includes 2460 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038412-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.