cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.11177237
title: Underwater images collected by an Autonomous Surface Vehicle in Trou-Deau, Réunion - 2023-11-23

description: This dataset was collected by an Autonomous Surface Vehicle in Trou-Deau, Réunion - 2023-11-23. 

            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.11177377
title: Underwater images collected by an Autonomous Surface Vehicle in Trou-Deau, Réunion - 2023-11-23

description: This dataset was collected by an Autonomous Surface Vehicle in Trou-Deau, Réunion - 2023-11-23. 

            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.14986542
title: CMIP6 input data usage information for IPCC WGI AR6 figure 9.7

description: The record contains information on input dataset usage and citation information from the WCRP Coupled Model Intercomparison Project Phase 6 (CMIP6) for the generation of figure 9.7 of the Sixth Assessment Report of Working Group I of the Intergovernmental Panel on Climate Change (IPCC AR6 WGI). CMIP6 data that were used as input to this figure follow the Data Reference Syntax. Persistent Identifiers (PIDs) for data identification (provenance) are available for individual datasets as Handle IDs. DOIs for data citation are available on the following dataset collections: CMIP6 DOIs contain all datasets provided by an Earth System model to a CMIP6 experiment. The data subsets of CMIP6 dataset collections used in the IPCC AR6 WGI have DOIs at this granularity of a model contribution to an experiment. The AR6 subset DOIs are included because they reside in a long-term preservation archive hosted by the IPCC Data Distribution Centre (DDC).

The uploaded human-readable csv file provides a list of datasets/Handle IDs used for the generation of this figure grouped by the corresponding dataset collections they belong to. The machine-actionable json-ld file describes the record as Complex Citation Object (see Agarwal et al., 2024, https://doi.org/10.5281/zenodo.14106602) in a preliminary standard, using the following vocabulary to specify the different functions of the contained Linked Digital Objects: Credit (input dataset collection to be cited/to which credit is to be assigned), Provenance (dataset contributing information to the generation of the DataProduct), archivedAt (dataset collection with long-term preservation), DigitalDocument (referenced papers containing further information), DataProduct (generated final dataset), ImageObject (visualization of the DataProduct), SoftwareSourceCode (software applied to generate the DataProduct), Chapter (IPCC AR6 WGI chapter in which the DataProduct is used/referenced).

Use and cite this record when referring to the generation of IPCC WGI AR6 figure 9.7.
DOI: 10.5281/zenodo.14986541
title: CMIP6 input data usage information for IPCC WGI AR6 figure 9.7

description: The record contains information on input dataset usage and citation information from the WCRP Coupled Model Intercomparison Project Phase 6 (CMIP6) for the generation of figure 9.7 of the Sixth Assessment Report of Working Group I of the Intergovernmental Panel on Climate Change (IPCC AR6 WGI). CMIP6 data that were used as input to this figure follow the Data Reference Syntax. Persistent Identifiers (PIDs) for data identification (provenance) are available for individual datasets as Handle IDs. DOIs for data citation are available on the following dataset collections: CMIP6 DOIs contain all datasets provided by an Earth System model to a CMIP6 experiment. The data subsets of CMIP6 dataset collections used in the IPCC AR6 WGI have DOIs at this granularity of a model contribution to an experiment. The AR6 subset DOIs are included because they reside in a long-term preservation archive hosted by the IPCC Data Distribution Centre (DDC).

The uploaded human-readable csv file provides a list of datasets/Handle IDs used for the generation of this figure grouped by the corresponding dataset collections they belong to. The machine-actionable json-ld file describes the record as Complex Citation Object (see Agarwal et al., 2024, https://doi.org/10.5281/zenodo.14106602) in a preliminary standard, using the following vocabulary to specify the different functions of the contained Linked Digital Objects: Credit (input dataset collection to be cited/to which credit is to be assigned), Provenance (dataset contributing information to the generation of the DataProduct), archivedAt (dataset collection with long-term preservation), DigitalDocument (referenced papers containing further information), DataProduct (generated final dataset), ImageObject (visualization of the DataProduct), SoftwareSourceCode (software applied to generate the DataProduct), Chapter (IPCC AR6 WGI chapter in which the DataProduct is used/referenced).

Use and cite this record when referring to the generation of IPCC WGI AR6 figure 9.7.
DOI: 10.5281/zenodo.14986543
title: CMIP6 input data usage information for IPCC WGI AR6 figure Atlas.13

description: The record contains information on input dataset usage and citation information from the WCRP Coupled Model Intercomparison Project Phase 6 (CMIP6) for the generation of figure Atlas.13 of the Sixth Assessment Report of Working Group I of the Intergovernmental Panel on Climate Change (IPCC AR6 WGI). CMIP6 data that were used as input to this figure follow the Data Reference Syntax. Persistent Identifiers (PIDs) for data identification (provenance) are available for individual datasets as Handle IDs. DOIs for data citation are available on the following dataset collections: CMIP6 DOIs contain all datasets provided by an Earth System model to a CMIP6 experiment. The data subsets of CMIP6 dataset collections used in the IPCC AR6 WGI have DOIs at this granularity of a model contribution to an experiment. The AR6 subset DOIs are included because they reside in a long-term preservation archive hosted by the IPCC Data Distribution Centre (DDC).

The uploaded human-readable csv file provides a list of datasets/Handle IDs used for the generation of this figure grouped by the corresponding dataset collections they belong to. The machine-actionable json-ld file describes the record as Complex Citation Object (see Agarwal et al., 2024, https://doi.org/10.5281/zenodo.14106602) in a preliminary standard, using the following vocabulary to specify the different functions of the contained Linked Digital Objects: Credit (input dataset collection to be cited/to which credit is to be assigned), Provenance (dataset contributing information to the generation of the DataProduct), archivedAt (dataset collection with long-term preservation), DigitalDocument (referenced papers containing further information), DataProduct (generated final dataset), ImageObject (visualization of the DataProduct), SoftwareSourceCode (software applied to generate the DataProduct), Chapter (IPCC AR6 WGI chapter in which the DataProduct is used/referenced).

Use and cite this record when referring to the generation of IPCC WGI AR6 figure Atlas.13.
DOI: 10.15468/dl.3zbv3q
title: Occurrence Download

description: A dataset containing 99980 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Erigeron sumatrensis Retz.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 99980 records from 908 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007696-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kp3vml
title: Occurrence Download

description: A dataset containing 3100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Pinus leiophylla Schiede ex Schltdl. & Cham.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3100 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009428-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pc96r8
title: Occurrence Download

description: A dataset containing 3050 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Benin",
 "Country is Burkina Faso",
 "Country is Côte d’Ivoire",
 "Country is Ghana",
 "Country is Gambia",
 "Country is Guinea",
 "Country is Guinea-Bissau",
 "Country is Mali",
 "Country is Liberia",
 "Country is Niger",
 "Country is Nigeria",
 "Country is Mauritania",
 "Country is Senegal",
 "Country is Sierra Leone",
 "Country is Togo"
 ]
 },
 {
 "or" : [
 "TaxonKey is Ipomoea batatas (L.) Lam.",
 "TaxonKey is Ipomoea acanthocarpa Hochst. ex Choisy, 1845",
 "TaxonKey is Ipomoea alba L.",
 "TaxonKey is Ipomoea aquatica Forssk.",
 "TaxonKey is Ipomoea argentaurata Hallier fil.",
 "TaxonKey is Ipomoea asarifolia (Desr.) Roem. & Schult.",
 "TaxonKey is Ipomoea barteri Baker",
 "TaxonKey is Ipomoea blepharophylla Hallier fil.",
 "TaxonKey is Ipomoea chrysochaetia Hallier fil.",
 "TaxonKey is Ipomoea coptica (L.) Roth ex Roem. & Schult.",
 "TaxonKey is Ipomoea ochracea (Lindl.) Sweet",
 "TaxonKey is Ipomoea prismatosyphon Welw.",
 "TaxonKey is Ipomoea rubens Choisy"
 ]
 }
 ]
}

 The dataset includes 3050 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091383-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p4hg3s
title: Occurrence Download

description: A dataset containing 3667 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 8.48224797265755",
 "DecimalLongitude is less than 8.48530752584195",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 3667 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007523-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.602301
title: Documentation of sediment core GeoB9501-5
DOI: 10.1594/pangaea.602302
title: Documentation of sediment core GeoB9502-3
DOI: 10.1594/pangaea.602303
title: Documentation of sediment core GeoB9502-4
DOI: 10.1594/pangaea.602304
title: Documentation of sediment core GeoB9503-5
DOI: 10.1594/pangaea.602305
title: Documentation of sediment core GeoB9504-3
DOI: 10.15468/dl.phqnes
title: Occurrence Download

description: A dataset containing 785 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Memora cladotricha Sandwith"
 ]
}

 The dataset includes 785 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013777-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.602306
title: Documentation of sediment core GeoB9505-4
DOI: 10.1594/pangaea.602307
title: Documentation of sediment core GeoB9506-1
DOI: 10.1594/pangaea.602308
title: Documentation of sediment core GeoB9508-5
DOI: 10.15468/dl.e4wzeq
title: Occurrence Download

description: A dataset containing 225 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "VerbatimScientificName is Hydrocleys martii",
 "VerbatimScientificName is Hydrocleys uruguayensis",
 "VerbatimScientificName is Limnocharis martii",
 "VerbatimScientificName is Ostenia uruguayensis"
 ]
 }
 ]
}

 The dataset includes 225 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0344000-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.602309
title: Documentation of sediment core GeoB9510-1
DOI: 10.1594/pangaea.602310
title: Documentation of sediment core GeoB9512-5
DOI: 10.15468/dl.34p7qn
title: Occurrence Download

description: A dataset containing 4533 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sagittaria montevidensis Cham. & Schltdl."
 ]
}

 The dataset includes 4533 records from 257 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007532-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.602311
title: Documentation of sediment core GeoB9513-3
DOI: 10.1594/pangaea.602312
title: Documentation of sediment core GeoB9515-3
DOI: 10.1594/pangaea.602313
title: Documentation of sediment core GeoB9516-5
DOI: 10.1594/pangaea.602314
title: Documentation of sediment core GeoB9517-4
DOI: 10.1594/pangaea.602315
title: Documentation of sediment core GeoB9518-5
DOI: 10.1594/pangaea.602316
title: Documentation of sediment core GeoB9519-4
DOI: 10.1594/pangaea.602317
title: Documentation of sediment core GeoB9520-5
DOI: 10.15468/dl.zrmmni
title: Occurrence Download

description: A dataset containing 856 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year 2008-2009",
 {
 "or" : [
 "Geometry POLYGON((-95.29963 39.54127,-94.66349 39.54127,-94.66349 40.02591,-95.29963 40.02591,-95.29963 39.54127))",
 "Geometry POLYGON((-95.51024 39.3454,-94.45244 39.3454,-94.45244 40.26976,-95.51024 40.26976,-95.51024 39.3454))"
 ]
 },
 "DatasetKey is Great Backyard Bird Count",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 856 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005790-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.602318
title: Documentation of sediment core GeoB9521-2
DOI: 10.1594/pangaea.602319
title: Documentation of sediment core GeoB9525-4
DOI: 10.1594/pangaea.602320
title: Documentation of sediment core GeoB9526-5
DOI: 10.15468/dl.4qj83d
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Leopardus wiedii (Schinz, 1821)"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0100660-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.602321
title: Documentation of sediment core GeoB9527-5
DOI: 10.1594/pangaea.602322
title: Documentation of sediment core GeoB9528-3
DOI: 10.15468/dl.2mqanf
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Garcinia lanceola Ridl."
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001273-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.602323
title: Documentation of sediment core GeoB9529-4
DOI: 10.1594/pangaea.602324
title: Documentation of sediment core GeoB9531-1
DOI: 10.1594/pangaea.602325
title: Documentation of sediment core GeoB9532-2
DOI: 10.1594/pangaea.602326
title: Documentation of sediment core GeoB9533-2
DOI: 10.1594/pangaea.602327
title: Documentation of sediment core GeoB9534-5
DOI: 10.1594/pangaea.602328
title: Documentation of sediment core GeoB9535-4
DOI: 10.1594/pangaea.602329
title: Documentation of sediment core GeoB9536-5
DOI: 10.1594/pangaea.602330
title: Documentation of sediment core GeoB9537-5
DOI: 10.15468/dl.df9fgv
title: Occurrence Download

description: A dataset containing 77131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Lepidoptera"
 ]
}

 The dataset includes 77131 records from 136 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023567-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.602331
title: Documentation of sediment core GeoB9538-4
DOI: 10.15468/dl.d67r3g
title: Occurrence Download

description: A dataset containing 5838 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Santalum acuminatum (R.Br.) A.DC.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5838 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0141539-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d8hx8d
title: Occurrence Download

description: A dataset containing 198 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sipha maydis Passerini, 1860)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 198 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042138-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7vc5pd
title: Occurrence Download

description: A dataset containing 138312 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neophron percnopterus (Linnaeus, 1758)"
 ]
}

 The dataset includes 138312 records from 331 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066906-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fxriio
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allophoron farinosum Nádv."
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005794-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.