cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17613842
title: Underwater images collected by a Kite surf in Ile-Aux-Cerfs, Mauritius - 2018-04-26

description: This dataset was collected by a Kite surf in Ile-Aux-Cerfs, Mauritius - 2018-04-26. 

            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!
DOI: 10.15468/dl.yqm8wr
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hemigrammus pulcher",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034646-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.spj4t7
title: Occurrence Download

description: A dataset containing 2410 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.6188 23.39913, -109.4688 23.39913, -109.4688 23.54913, -109.6188 23.54913, -109.6188 23.39913))"
 ]
}

 The dataset includes 2410 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034647-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.geqxuu
title: Occurrence Download

description: A dataset containing 148 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Takydromus dorsalis"
 ]
}

 The dataset includes 148 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034648-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.975087
title: Microplastic particle characteristics during Manta trawls in the North and South Atlantic Ocean with Bark Europa in Autumn 2021

description: The study aimed to collect and analyze microplastic samples from the surface waters of the North and South Atlantic Oceans, conducted onboard the Bark Europa, a traditional three-masted, square-rigged Barque. The data was collected in autumn 2021 over 17 trawl locations across the Atlantic Ocean from Scheveningen (the Netherlands) to Montevideo (Uruguay). Surface water samples were collected using a Manta trawl (mouth area: 40.5 cm², mesh size: 500 µm; cod end: 333 µm), towed for 30 minutes at each sampling, meanwhile monitoring of environmental conditions such as sea state, wind speed, and salinity was done. Three samples were collected at each site, except for one location where a trawl was discarded due to technical issues. The trawls were monitored and adjusted to ensure smooth sampling outside the vessel's wake zone. Microplastic samples collected during the study were processed using a series of stacked sieves (5 mm, 1mm, 0.3mm) and rinsed with filtered fresh water. For particles with largest dimension bigger than 1 mm, visual identification was done, however could not be done reliably for those particles smaller than 1 mm. For all particles, chemical purification and stereoscopy was done onboard, followed by ATR-FTIR spectroscopy in the laboratory to identify the polymer types of the microplastics. Cross-contamination was minimized through procedural blanks and careful equipment handling. The microplastic particles collected were categorized by shape (film, foam, fragment, line, microfiber, microbead, industrial pellet).
DOI: 10.1594/pangaea.975022
title: Oceanographic conditions during Manta trawls in the North and South Atlantic Ocean with Bark Europa in Autumn 2021

description: The study aimed to collect and analyze microplastic samples from the surface waters of the North and South Atlantic Oceans, conducted onboard the Bark Europa, a traditional three-masted, square-rigged Barque. The data was collected in autumn 2021 over 17 trawl locations across the Atlantic Ocean from Scheveningen (the Netherlands) to Montevideo (Uruguay). Surface water samples were collected using a Manta trawl (mouth area: 40.5 cm², mesh size: 500 µm; cod end: 333 µm), towed for 30 minutes at each sampling, meanwhile monitoring of environmental conditions such as sea state, wind speed, and salinity was done. Three samples were collected at each site, except for one location where a trawl was discarded due to technical issues. The trawls were monitored and adjusted to ensure smooth sampling outside the vessel's wake zone. Microplastic samples collected during the study were processed using a series of stacked sieves (5 mm, 1mm, 0.3mm) and rinsed with filtered fresh water. For particles with largest dimension bigger than 1 mm, visual identification was done, however could not be done reliably for those particles smaller than 1 mm. For all particles, chemical purification and stereoscopy was done onboard, followed by ATR-FTIR spectroscopy in the laboratory to identify the polymer types of the microplastics. Cross-contamination was minimized through procedural blanks and careful equipment handling. The microplastic particles collected were categorized by shape (film, foam, fragment, line, microfiber, microbead, industrial pellet).
DOI: 10.15468/dl.2777mw
title: Occurrence Download

description: A dataset containing 1193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Opuntia stricta"
 ]
}

 The dataset includes 1193 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034649-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8c8dm6
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hemiodus gracilis",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034650-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hcp4gp
title: Occurrence Download

description: A dataset containing 19651 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.4688 23.39913, -109.3188 23.39913, -109.3188 23.54913, -109.4688 23.54913, -109.4688 23.39913))"
 ]
}

 The dataset includes 19651 records from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034651-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sftrfc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Herichthys carpintis",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034652-251025141854904/datasets/export for details.
DOI: 10.15468/dl.b2bdgg
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.3188 23.39913, -109.1688 23.39913, -109.1688 23.54913, -109.3188 23.54913, -109.3188 23.39913))"
 ]
}

 The dataset includes 56 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034653-251025141854904/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/13738120
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.ywnbbp
title: Occurrence Download

description: A dataset containing 312 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Geometry POLYGON((79 31, 81 31, 81 32, 79 32, 79 31))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 312 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034654-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.756p2b
title: Occurrence Download

description: A dataset containing 148 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Takydromus dorsalis"
 ]
}

 The dataset includes 148 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034655-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qas87y
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Herichthys cyanoguttatus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034656-251025141854904/datasets/export for details.
DOI: 10.5281/zenodo.17613384
title: Underwater images collected by a Kite surf in Le-Morne-With-Aerial, Mauritius - 2018-04-07

description: This dataset was collected by a Kite surf in Le-Morne-With-Aerial, Mauritius - 2018-04-07. 

            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.17613865
title: Underwater images collected by a Kite surf in Le-Morne-With-Aerial, Mauritius - 2018-04-07

description: This dataset was collected by a Kite surf in Le-Morne-With-Aerial, Mauritius - 2018-04-07. 

            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.ayyev3
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.1688 23.39913, -109.0188 23.39913, -109.0188 23.54913, -109.1688 23.54913, -109.1688 23.39913))"
 ]
}

 The dataset includes 69 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034657-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nzs28n
title: Occurrence Download

description: A dataset containing 29306 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, Asia, Oceania, Europe, South America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Opuntia stricta"
 ]
}

 The dataset includes 29306 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034658-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e6h8rb
title: Occurrence Download

description: A dataset containing 272 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Geometry POLYGON((81 31, 83 31, 83 32, 81 32, 81 31))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 272 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034659-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kayq5x
title: Occurrence Download

description: A dataset containing 22137 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global compendium of Aedes albopictus occurrence"
 ]
}

 The dataset includes 22137 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034660-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6yrbb2
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heros efasciatus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034661-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5063/f1d50kfr
title: Temperature and conductivity profiles from Toolik Lake, Alaska, during winter 2023-2024.

description: Conductivity, temperature, depth (CTD) profiles were obtained during winter 2023-2024 using a free falling YSI Castaway profiler with resolution and accuracy of temperature 0.01oC and +0.05oC respectively and of specific conductance 1 µS cm-1 and 0.25% + 5 µS cm-1, respectively. Sampling is at 5 Hz with data averaged in 30 cm bins. The data are used to describe the structure of temperature, specific conductance, and density in an ice-covered lake and to calculate the likelihood of double diffusive convection. Data here were taken at 4 m, 10m and 15 m sites in November 2023 and monthly in 2024 at either nearby 15 or 24 m deep sites while the lake remained ice-covered. The ten meter deep site has latitude and longitude 68.62730, -149.60248, the four meter deep site is 68.63282, -149.59967, the 15 meter deep site is 68.62962, -149.61127, and the ~24 m deep site is 68.629080, -149.613867.
DOI: 10.15468/dl.eec786
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.0188 23.39913, -108.8688 23.39913, -108.8688 23.54913, -109.0188 23.54913, -109.0188 23.39913))"
 ]
}

 The dataset includes 20 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034662-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.