cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.fx2vx7
title: Occurrence Download

description: A dataset containing 144682 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lasius Fabricius, 1804"
 ]
}

 The dataset includes 144682 records from 648 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0435572-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11176278
title: Underwater images collected by an Autonomous Surface Vehicle in Boucan, Réunion - 2023-11-21

description: This dataset was collected by an Autonomous Surface Vehicle in Boucan, Réunion - 2023-11-21. 

            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: 10.5281/zenodo.11176369
title: Underwater images collected by an Autonomous Surface Vehicle in Boucan, Réunion - 2023-11-22

description: This dataset was collected by an Autonomous Surface Vehicle in Boucan, Réunion - 2023-11-22. 

            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: 10.5281/zenodo.11176449
title: Underwater images collected by an Autonomous Surface Vehicle in Boucan, Réunion - 2023-11-22

description: This dataset was collected by an Autonomous Surface Vehicle in Boucan, Réunion - 2023-11-22. 

            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: 10.5281/zenodo.11176543
title: Underwater images collected by an Autonomous Surface Vehicle in Boucan, Réunion - 2023-11-22

description: This dataset was collected by an Autonomous Surface Vehicle in Boucan, Réunion - 2023-11-22. 

            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.yzas4m
title: Occurrence Download

description: A dataset containing 637 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "TaxonKey is Phyllostachys bambusoides Siebold & Zucc."
 ]
}

 The dataset includes 637 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005342-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc1sto1633369
title: InscriptiFact -- an image database of inscriptions and artifacts
DOI: 10.25549/inscriptifact-ouc1sto1633083
title: InscriptiFact -- an image database of inscriptions and artifacts
DOI: 10.15468/dl.dk7tjv
title: Occurrence Download

description: A dataset containing 840 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trichocnemis spiculatus LeConte, 1851",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is United States of America",
 "Country is United States",
 "Country is United States of America",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 840 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0132508-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111143715
title: Telaga Batu or Sabokingking inscription, MNI D155

description: [Text Description:] Telaga Batu or Sabokingking inscription; snake hoods at top and outlet for liquid at bottom ❧ [Text or Publication Number Note:] MNI D155 ❧ [Medium:] Stone ❧ [Script Note:] Southern Brahmi ❧ [Physical Object Description:] Stela ❧ [Physical Object Note:] Stone
DOI: 10.15468/dl.33e9fd
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ernobius punctulatus (LeConte, 1859)",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is United States of America",
 "Country is United States",
 "Country is United States of America",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 95 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0132509-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111143627
title: Telaga Batu or Sabokingking inscription, MNI D155

description: [Text Description:] Telaga Batu or Sabokingking inscription; snake hoods at top and outlet for liquid at bottom ❧ [Text or Publication Number Note:] MNI D155 ❧ [Medium:] Stone ❧ [Script Note:] Southern Brahmi ❧ [Physical Object Description:] Stela ❧ [Physical Object Note:] Stone
DOI: 10.25549/inscriptifact-ouc111143628
title: Telaga Batu or Sabokingking inscription, MNI D155

description: [Text Description:] Telaga Batu or Sabokingking inscription; snake hoods at top and outlet for liquid at bottom ❧ [Text or Publication Number Note:] MNI D155 ❧ [Medium:] Stone ❧ [Script Note:] Southern Brahmi ❧ [Physical Object Description:] Stela ❧ [Physical Object Note:] Stone
DOI: 10.15468/dl.xixodm
title: Occurrence Download

description: A dataset containing 5940 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Proteidae"
 ]
}

 The dataset includes 5940 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010636-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111143630
title: Telaga Batu or Sabokingking inscription, MNI D155

description: [Text Description:] Telaga Batu or Sabokingking inscription; snake hoods at top and outlet for liquid at bottom ❧ [Text or Publication Number Note:] MNI D155 ❧ [Medium:] Stone ❧ [Script Note:] Southern Brahmi ❧ [Physical Object Description:] Stela ❧ [Physical Object Note:] Stone
DOI: 10.25549/inscriptifact-ouc1sto1633247
title: InscriptiFact -- an image database of inscriptions and artifacts
DOI: 10.15468/dl.tf2mzv
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plecturocebus miltoni (Dalponte, Silva & Silva-Júnior, 2014)"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0350772-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111144887
title: Incription in Kawi Script,

description: [Text Description:] Incription in Kawi Script ❧ [Excavation Description:] Incription in Kawi Script ❧ [Medium:] Metal ❧ [Script Note:] Kawi ❧ [Physical Object Description:] Foil ❧ [Physical Object Note:] Metal
DOI: 10.15468/dl.twh6bf
title: Occurrence Download

description: A dataset containing 383 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Macropus parryi Bennett, 1834"
 ]
}

 The dataset includes 383 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0350775-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111146564
title: Pyu Inscription, PYU 11

description: [Text Description:] Pyu Inscription ❧ [Text or Publication Number Note:] PYU11 ❧ [Excavation Description:] near the Tharaba gate ❧ [Medium:] Stone ❧ [Script Note:] Pyu ❧ [Physical Object Description:] Stela; height 138 cm, width 66 cm and depth 23 cm ❧ [Physical Object Note:] Stone
DOI: 10.25549/inscriptifact-ouc111144853
title: Incription in Kawi Script,

description: [Text Description:] Incription in Kawi Script ❧ [Excavation Description:] Incription in Kawi Script ❧ [Medium:] Metal ❧ [Script Note:] Kawi ❧ [Physical Object Description:] Foil ❧ [Physical Object Note:] Metal
DOI: 10.25549/inscriptifact-ouc1sto1633298
title: InscriptiFact -- an image database of inscriptions and artifacts
DOI: 10.15468/dl.azcytk
title: Occurrence Download

description: A dataset containing 538574 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Danaus plexippus (Linnaeus, 1758)"
 ]
}

 The dataset includes 538574 records from 241 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0352010-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111143729
title: Rambahan inscription II, MNI D6469

description: [Text Description:] Rambahan inscription II ❧ [Text or Publication Number Note:] MNI D6469 ❧ [Excavation Description:] Sanskrit Inscription ❧ [Medium:] Stone ❧ [Script Note:] Kawi ❧ [Physical Object Description:] Base of sculpture in high relief ❧ [Physical Object Note:] Stone
DOI: 10.15468/dl.zczp9u
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-90.3190306000000049 38.7340765000000005, -90.3190306000000049 38.7365861800000033, -90.3190306000000049 38.7382927700000010, -90.3190306000000049 38.7394974199999993, -90.3190306000000049 38.7414047800000034, -90.3190306000000049 38.7430109800000011, -90.3190306000000049 38.7442156199999985, -90.3190306000000049 38.7461229800000027, -90.3190306000000049 38.7472272500000017, -90.3190306000000049 38.7494357699999981, -90.3190306000000049 38.7512427400000021, -90.3190306000000049 38.7539531999999980, -90.3175243000000023 38.7539531999999980, -90.3157167399999992 38.7539531999999980, -90.3125033000000030 38.7539531999999980, -90.3105953200000044 38.7539531999999980, -90.3089886000000064 38.7539531999999980, -90.3089886000000064 38.7516442900000015, -90.3089886000000064 38.7495361599999981, -90.3089886000000064 38.7479299600000004, -90.3089886000000064 38.7465245300000021, -90.3089886000000064 38.7449183399999981, -90.3089886000000064 38.7427098100000009, -90.3089886000000064 38.7400997399999980, -90.3089886000000064 38.7383931600000011, -90.3089886000000064 38.7359838599999975, -90.3089886000000064 38.7340765000000005, -90.3106957399999999 38.7340765000000005, -90.3138087600000006 38.7340765000000005, -90.3162188400000048 38.7340765000000005, -90.3190306000000049 38.7340765000000005))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 104 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092802-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111143917
title: Rambahan inscription II, MNI D6469

description: [Text Description:] Rambahan inscription II ❧ [Text or Publication Number Note:] MNI D6469 ❧ [Excavation Description:] Sanskrit Inscription ❧ [Medium:] Stone ❧ [Script Note:] Kawi ❧ [Physical Object Description:] Base of sculpture in high relief ❧ [Physical Object Note:] Stone
DOI: 10.15468/dl.ttmfvu
title: Occurrence Download

description: A dataset containing 339 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fusarium acuminatum Ellis & Everh.",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is United States of America",
 "Country is United States",
 "Country is United States of America",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 339 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0132526-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111143736
title: Rambahan inscription II, MNI D6469

description: [Text Description:] Rambahan inscription II ❧ [Text or Publication Number Note:] MNI D6469 ❧ [Excavation Description:] Sanskrit Inscription ❧ [Medium:] Stone ❧ [Script Note:] Kawi ❧ [Physical Object Description:] Base of sculpture in high relief ❧ [Physical Object Note:] Stone
DOI: 10.25549/inscriptifact-ouc1sto1632989
title: InscriptiFact -- an image database of inscriptions and artifacts
DOI: 10.15468/dl.whnfyf
title: Occurrence Download

description: A dataset containing 123 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "DatasetKey is NatureServe Network Species Occurrence Data"
 ]
 },
 "TaxonKey is Rana pretiosa Baird & Girard, 1853",
 "Year 2000-2022"
 ]
}

 The dataset includes 123 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092826-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111143655
title: Rambahan inscription II, MNI D6469

description: [Text Description:] Rambahan inscription II ❧ [Text or Publication Number Note:] MNI D6469 ❧ [Excavation Description:] Sanskrit Inscription ❧ [Medium:] Stone ❧ [Script Note:] Kawi ❧ [Physical Object Description:] Base of sculpture in high relief ❧ [Physical Object Note:] Stone