cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.11151424
title: Underwater images collected by a Paddle in Hermitage, Réunion - 2021-01-13

description: This dataset was collected by a Paddle in Hermitage, Réunion - 2021-01-13. 

            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.

            

            
 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: 10.5281/zenodo.11151425
title: Underwater images collected by a Paddle in Hermitage, Réunion - 2021-01-13

description: This dataset was collected by a Paddle in Hermitage, Réunion - 2021-01-13. 

            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.

            

            
 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: 10.5281/zenodo.11151614
title: Underwater images collected by a Paddle in Hermitage, Réunion - 2021-01-14

description: This dataset was collected by a Paddle in Hermitage, Réunion - 2021-01-14. 

            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.

            

            
 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: 10.5281/zenodo.11151615
title: Underwater images collected by a Paddle in Hermitage, Réunion - 2021-01-14

description: This dataset was collected by a Paddle in Hermitage, Réunion - 2021-01-14. 

            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.

            

            
 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.x98a8k
title: Occurrence Download

description: A dataset containing 205264 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Brazil, Argentina, Paraguay)",
 "TaxonKey is Thamnophilus Vieillot, 1816"
 ]
}

 The dataset includes 205264 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017444-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e49rjh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((146.995073 -33.954767, 147.00181 -33.954767, 147.00181 -33.952521, 146.995073 -33.952521, 146.995073 -33.954767)), ((146.995073 -33.954767, 146.992827 -33.954767, 146.992827 -33.957013, 146.988335 -33.957013, 146.988335 -33.96375, 146.992827 -33.96375, 146.992827 -33.961504, 146.995073 -33.961504, 146.995073 -33.954767)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073282-240626123714530/datasets/export for details.
DOI: 10.15468/dl.5a8w4c
title: Occurrence Download

description: A dataset containing 2267 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "GadmGid is USA.5_1",
 "Geometry POLYGON((-116.13459 35.01133,-115.93746 34.95083,-115.82764 34.6931,-114.97515 34.88705,-114.90496 35.24811,-115.21747 35.49359,-115.7112 35.46647,-116.19984 35.17257,-116.13459 35.01133))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (June, May, April, March)",
 "OccurrenceStatus is Present",
 "PublishedByGbifRegion is North America",
 "TaxonKey is one of (Ambrosia salsola (Torr. & A.Gray) Strother & B.G.Baldwin, Argemone munita Durand & Hilg., Asclepias erosa Torr., Astragalus coccineus (Parry) Brandegee, Atriplex canescens (Pursh) Nutt., Baileya multiradiata Harv. & A.Gray, Bebbia juncea (Benth.) Greene, Calochortus kennedyi Porter, Calochortus kennedyi var. kennedyi, Chilopsis linearis (Cav.) DC., Coleogyne ramosissima Torr., Coryphantha alversonii (J.M.Coult.) Orcutt, Cucurbita palmata S.Watson, Cylindropuntia acanthocarpa (Engelm. & J.M.Bigelow) F.M.Knuth, Cylindropuntia bigelovii, Datura wrightii Regel, Echinocereus engelmannii (Parry ex Engelm.) Rümpler, Encelia farinosa A.Gray ex Torr., Ephedra nevadensis S.Watson, Eriogonum fasciculatum Benth., Eschscholzia californica Cham., Eucnide urens Parry ex Coville, Ferocactus cylindraceus (Engelm.) Orcutt, Fouquieria splendens Engelm., Hesperocallis undulata A.Gray, Condea emoryi (Torr.) Harley & J.F.B.Pastore, Justicia californica (Benth.) D.N.Gibson, Larrea tridentata (DC.) Coult., Lupinus arizonicus (S.Watson) S.Watson, Neltuma glandulosa (Torr.) Britton & Rose, Oenothera primiveris A.Gray, Opuntia basilaris Engelm. & J.M.Bigelow, Parkinsonia florida (Benth. ex A.Gray) S.Watson, Phacelia campanularia A.Gray, Psorothamnus spinosus (A.Gray) Barneby, Salvia dorrii (Kellogg) Abrams, Sphaeralcea ambigua A.Gray, Xylorhiza tortifolia (Torr. & A.Gray) Greene, Yucca brevifolia Engelm., Yucca schidigera Roezl ex Ortgies)",
 "Year 2015-2024"
 ]
}

 The dataset includes 2267 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073284-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y6z632
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((147.07143 -33.952521, 147.07143 -33.957013, 147.073676 -33.957013, 147.073676 -33.954767, 147.078167 -33.954767, 147.078167 -33.952521, 147.07143 -33.952521)), ((147.078167 -33.954767, 147.078167 -33.961504, 147.080413 -33.961504, 147.080413 -33.957013, 147.084905 -33.957013, 147.084905 -33.954767, 147.078167 -33.954767)), ((147.078167 -33.961504, 147.073676 -33.961504, 147.073676 -33.96375, 147.078167 -33.96375, 147.078167 -33.961504)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073285-240626123714530/datasets/export for details.
DOI: 10.60893/figshare.apl.26527072
title: Supplement Number 1

description: Supplementary material for the experimental details, methods, figures and tables.
DOI: 10.15468/dl.r4w3re
title: Occurrence Download

description: A dataset containing 763 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Silene L."
 ]
}

 The dataset includes 763 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073286-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60893/figshare.apl.26223146
title: Supplementary materials

description: This file includes additional information on preparations and characterizations of the samples presented in the main text, and complete datasets to make graphs in Fig. 4 in the main text.
DOI: 10.60893/figshare.apl.26223146.v1
title: Supplementary materials

description: This file includes additional information on preparations and characterizations of the samples presented in the main text, and complete datasets to make graphs in Fig. 4 in the main text.
DOI: 10.15468/dl.aky3mx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.567132 -33.961504, 148.567132 -33.96375, 148.569378 -33.96375, 148.569378 -33.961504, 148.567132 -33.961504))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073288-240626123714530/datasets/export for details.
DOI: 10.15468/dl.ug6tze
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ceratostema calycinum (A.C.Sm.) Sleumer"
 ]
}

 The dataset includes 69 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073290-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60893/figshare.apm.26414677
title: Supplementary Information

description: Supplementary material
DOI: 10.60893/figshare.apm.26414677.v1
title: Supplementary Information

description: Supplementary material
DOI: 10.15468/dl.gxfq6m
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.481792 -33.972733, 148.481792 -33.977225, 148.484038 -33.977225, 148.484038 -33.972733, 148.481792 -33.972733))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073292-240626123714530/datasets/export for details.
DOI: 10.15468/dl.yzbz7p
title: Occurrence Download

description: A dataset containing 2743 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Abies religiosa (Kunth) Schltdl. & Cham."
 ]
}

 The dataset includes 2743 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073291-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60893/figshare.jap.26495863
title: Supplemental Information

description: Supplemental Information
DOI: 10.60893/figshare.jap.26495863.v1
title: Supplemental Information

description: Supplemental Information
DOI: 10.15468/dl.p8dvez
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.488529 -33.974979, 148.488529 -33.977225, 148.490775 -33.977225, 148.490775 -33.974979, 148.488529 -33.974979))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073293-240626123714530/datasets/export for details.
DOI: 10.15468/dl.rdddrb
title: Occurrence Download

description: A dataset containing 379397 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is 臺灣兩棲類資源調查網 (Taiwan Amphibians Database)"
 ]
}

 The dataset includes 379397 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073283-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qgqxrp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.203313 -33.977225, 148.203313 -33.979471, 148.207804 -33.979471, 148.207804 -33.977225, 148.203313 -33.977225))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073294-240626123714530/datasets/export for details.
DOI: 10.57967/hf/2904
title: flux-lora-bstars
DOI: 10.5281/zenodo.13340373
title: The netCDF output data of Parallel Princeton Ocean Model based on OpenACC

description: This dataset represents the output results from the simulated seamount case, where the outputs vary depending on whether parallel (p) or serial (s) execution is used, as well as the different simulation durations and resolutions applied.
DOI: 10.5281/zenodo.13340374
title: The netCDF output data of Parallel Princeton Ocean Model based on OpenACC

description: This dataset represents the output results from the simulated seamount case, where the outputs vary depending on whether parallel (p) or serial (s) execution is used, as well as the different simulation durations and resolutions applied.
DOI: 10.15468/dl.3b7u9p
title: Occurrence Download

description: A dataset containing 24532 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Otus bakkamoena Pennant, 1769"
 ]
}

 The dataset includes 24532 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073295-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zg3h33
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.843365 -33.979471, 148.843365 -33.983962, 148.845611 -33.983962, 148.845611 -33.979471, 148.843365 -33.979471))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073297-240626123714530/datasets/export for details.
DOI: 10.15468/dl.zc3gwk
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is United States of America",
 "GadmGid is USA.5_1",
 "Geometry POLYGON((-116.13459 35.01133,-115.93746 34.95083,-115.82764 34.6931,-114.97515 34.88705,-114.90496 35.24811,-115.21747 35.49359,-115.7112 35.46647,-116.19984 35.17257,-116.13459 35.01133))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (June, May, April, March)",
 "OccurrenceStatus is Present",
 "PublishedByGbifRegion is North America",
 "TaxonKey is one of (Ambrosia salsola (Torr. & A.Gray) Strother & B.G.Baldwin, Argemone munita Durand & Hilg., Asclepias erosa Torr., Astragalus coccineus (Parry) Brandegee, Atriplex canescens (Pursh) Nutt., Baileya multiradiata Harv. & A.Gray, Bebbia juncea (Benth.) Greene, Calochortus kennedyi Porter, Calochortus kennedyi var. kennedyi, Chilopsis linearis (Cav.) DC., Coleogyne ramosissima Torr., Coryphantha alversonii (J.M.Coult.) Orcutt, Cucurbita palmata S.Watson, Cylindropuntia acanthocarpa (Engelm. & J.M.Bigelow) F.M.Knuth, Cylindropuntia bigelovii, Datura wrightii Regel, Echinocereus engelmannii (Parry ex Engelm.) Rümpler, Encelia farinosa A.Gray ex Torr., Ephedra nevadensis S.Watson, Eriogonum fasciculatum Benth., Eschscholzia californica Cham., Eucnide urens Parry ex Coville, Ferocactus cylindraceus (Engelm.) Orcutt, Fouquieria splendens Engelm., Hesperocallis undulata A.Gray, Condea emoryi (Torr.) Harley & J.F.B.Pastore, Justicia californica (Benth.) D.N.Gibson, Larrea tridentata (DC.) Coult., Lupinus arizonicus (S.Watson) S.Watson, Neltuma glandulosa (Torr.) Britton & Rose, Oenothera primiveris A.Gray, Opuntia basilaris Engelm. & J.M.Bigelow, Parkinsonia florida (Benth. ex A.Gray) S.Watson, Phacelia campanularia A.Gray, Psorothamnus spinosus (A.Gray) Barneby, Salvia dorrii (Kellogg) Abrams, Sphaeralcea ambigua A.Gray, Xylorhiza tortifolia (Torr. & A.Gray) Greene, Yucca brevifolia Engelm., Yucca schidigera Roezl ex Ortgies)",
 "Year 2015-2024"
 ]
}

 The dataset includes 71 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073296-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.