cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.11177427
title: Underwater images collected by an Autonomous Surface Vehicle in St-Leu, Réunion - 2023-10-27

description: This dataset was collected by an Autonomous Surface Vehicle in St-Leu, Réunion - 2023-10-27. 

            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.11177490
title: Underwater images collected by an Autonomous Surface Vehicle in St-Leu, Réunion - 2023-10-27

description: This dataset was collected by an Autonomous Surface Vehicle in St-Leu, Réunion - 2023-10-27. 

            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.11177647
title: Underwater images collected by an Autonomous Surface Vehicle in St-Leu, Réunion - 2023-10-27

description: This dataset was collected by an Autonomous Surface Vehicle in St-Leu, Réunion - 2023-10-27. 

            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.k2wh85
title: Occurrence Download

description: A dataset containing 15122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Pedicularis sylvatica L.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 15122 records from 153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018504-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15192285
title: Simulación de exportaciones argentinas 2022–2024

description: Este dataset simulado representa los valores mensuales de exportaciones argentinas en millones de dólares (USD) entre los años 2022 y 2024, organizados por categorías principales: Cereales, Carnes, Minerales y Manufacturas.

La estructura y categorías están inspiradas en los informes reales del INDEC sobre comercio exterior, pero los valores fueron generados artificialmente para fines educativos y de análisis de datos.

Columnas:

Año: año de la exportación

Mes: mes de la exportación

Categoría: tipo de producto exportado

Monto_exportado_en_millones_usd: monto total exportado en ese mes para esa categoría
DOI: 10.5281/zenodo.15192286
title: Simulación de importaciones argentinas (2022–2024)

description: Este dataset simulado representa los valores mensuales de exportaciones argentinas en millones de dólares (USD) entre los años 2022 y 2024, organizados por categorías principales: Cereales, Carnes, Minerales y Manufacturas.

La estructura y categorías están inspiradas en los informes reales del INDEC sobre comercio exterior, pero los valores fueron generados artificialmente para fines educativos y de análisis de datos.

Columnas:

Año: año de la exportación

Mes: mes de la exportación

Categoría: tipo de producto exportado

Monto_exportado_en_millones_usd: monto total exportado en ese mes para esa categoría
DOI: 10.5281/zenodo.15192294
title: Simulación de exportaciones argentinas 2022–2024

description: Este dataset simulado representa los valores mensuales de exportaciones argentinas en millones de dólares (USD) entre los años 2022 y 2024, organizados por categorías principales: Cereales, Carnes, Minerales y Manufacturas.

La estructura y categorías están inspiradas en los informes reales del INDEC sobre comercio exterior, pero los valores fueron generados artificialmente para fines educativos y de análisis de datos.

Columnas:

Año: año de la exportación

Mes: mes de la exportación

Categoría: tipo de producto exportado

Monto_exportado_en_millones_usd: monto total exportado en ese mes para esa categoría
DOI: 10.15468/dl.nvzjsv
title: Occurrence Download

description: A dataset containing 4387 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Erigeron speciosus (Lindl.) DC."
 ]
}

 The dataset includes 4387 records from 128 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067031-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.47pn7r
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leucobryum chlorophyllosum Müll.Hal."
 ]
}

 The dataset includes 104 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0157942-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bcqf8p
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Laticauda guineai Heatwole, Busack & Cogger, 2005"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011039-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uvydwy
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Staehelina uniflosculosa Sm.",
 "HasCoordinate is true",
 "Continent is Europe",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "CoordinateUncertaintyInMeters is less than 10000"
 ]
}

 The dataset includes 21 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007645-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9bj8ed
title: Occurrence Download

description: A dataset containing 168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-89.83897 -29.62742,-25.16103 -29.62742,-25.16103 15.62742,-89.83897 15.62742,-89.83897 -29.62742))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Helicostylis tomentosa (Poepp. & Endl.) J.F.Macbr."
 ]
}

 The dataset includes 168 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0100715-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ox9dpt
title: Occurrence Download

description: A dataset containing 166 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Riama striata (Peters, 1863)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 166 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011350-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rp3y7b
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bostrychus strigogenys Nichols, 1937"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067029-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25907752
title: Analysis of the heterogeneity and complexity of murine extraorbital lacrimal gland via single-cell RNA sequencing

description: Our findings reveal the diversity of cell types in the lacrimal gland and their transcriptomic profiles. More importantly, this study provides a dataset that serves as a resource, deepening our understanding of the development, composition, and function of the lacrimal glands, as well as the pathogenesis of lacrimal gland diseases. Over 37 subclasses of cells were identified, including seven types of glandular epithelial cells, three types of fibroblasts, ten types of myeloid-derived immune cells, at least eleven types of lymphoid-derived immune cells, and five types of vascular-associated cell subsets. The cell-cell communication network analysis revealed that fibroblasts and immune cells play a pivotal role in the dense intercellular communication network within the mouse ELG.
DOI: 10.15468/dl.v8nkxk
title: Occurrence Download

description: A dataset containing 47203 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Erigeron bonariensis L."
 ]
}

 The dataset includes 47203 records from 660 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067028-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s36wcy
title: Occurrence Download

description: A dataset containing 219 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Machine Observation"
 ]
 },
 "Country is Mexico",
 "TaxonKey is Icterus auratus Bonaparte, 1850"
 ]
}

 The dataset includes 219 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0127592-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hm7bhj
title: Occurrence Download

description: A dataset listing the 547 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is MEX.23_1",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (8483a1f0-1032-11db-ae00-b8a03c50a862, c76cf030-2a95-11da-9cc1-b8a03c50a862, b554c320-0560-11d8-b851-b8a03c50a862, b4640710-8e03-11d8-b956-b8a03c50a862, f9b67ad0-9c9b-11d9-b9db-b8a03c50a862, ff90b050-c256-11db-b71b-b8a03c50a862, 4c1a7622-ff80-419d-b1ba-2037d61f1973, 1e9400fa-ce73-4737-9eaa-f25df148945c, c3ad790a-d426-4ac1-8e32-da61f81f0117)",
 "TaxonKey is Gastropoda"
 ]
}

 The dataset's 547 records were derived from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042157-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vyb5aq
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eucarazzia elegans (Ferrari, 1872))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 41 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042172-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ne7eb
title: Occurrence Download

description: A dataset containing 485 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Inga acreana Harms"
 ]
}

 The dataset includes 485 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014047-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.at3te8
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthospermum esterhuysenianum Puff"
 ]
}

 The dataset includes 19 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007625-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.utu762
title: Occurrence Download

description: A dataset containing 182554 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Orchidaceae",
 "BasisOfRecord is Specimen",
 "Continent is North America"
 ]
}

 The dataset includes 182554 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0130371-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kiiykg
title: Occurrence Download

description: A dataset containing 398 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year 1979-2019",
 "HasCoordinate is true",
 "TaxonKey is Actinostachys pennula (Sw.) Hook.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 398 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014036-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jzf2v4
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Austrochaperina basipalmata (Van Kampen, 1906)"
 ]
}

 The dataset includes 27 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020556-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tj8v6q
title: Occurrence Download

description: A dataset containing 1748 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plethodon albagula Grobman, 1944"
 ]
}

 The dataset includes 1748 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0110378-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ktjul
title: Occurrence Download

description: A dataset containing 33832 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Mimus polyglottos (Linnaeus, 1758)"
 ]
}

 The dataset includes 33832 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014053-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.se8888
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amorphophallus serrulatus Hett. & A.Galloway"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007666-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6mf34y
title: Occurrence Download

description: A dataset containing 423 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Machine Observation"
 ]
 },
 {
 "or" : [
 "Country is Mexico",
 "Country is Belize"
 ]
 },
 "TaxonKey is Icterus chrysater (Lesson, 1844)"
 ]
}

 The dataset includes 423 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0127596-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.