cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.11170618
title: Underwater images collected by an Autonomous Surface Vehicle in Grandfond, Réunion - 2023-01-31

description: This dataset was collected by an Autonomous Surface Vehicle in Grandfond, Réunion - 2023-01-31. 

            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.gm79wk
title: Occurrence Download

description: A dataset containing 141 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eichhornia crassipes (Mart.) Solms",
 "Year 2000-2025"
 ]
}

 The dataset includes 141 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005335-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11170798
title: Underwater images collected by an Autonomous Surface Vehicle in Grandfond, Réunion - 2023-01-31

description: This dataset was collected by an Autonomous Surface Vehicle in Grandfond, Réunion - 2023-01-31. 

            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.11171640
title: Underwater images collected by an Autonomous Surface Vehicle in Grandfond, Réunion - 2023-01-31

description: This dataset was collected by an Autonomous Surface Vehicle in Grandfond, Réunion - 2023-01-31. 

            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: 10.5519/qd.n5p1wusb
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5 records)
DOI: 10.5281/zenodo.15176175
title: ХРОНИЧЕСКАЯ БОЛЬ ПОСЛЕ ПЛАСТИКИ ГРЫЖ: ПРИЧИНЫ, ДИАГНОСТИКА И МЕТОДЫ КОРРЕКЦИИ.
DOI: 10.5281/zenodo.15176176
title: ХРОНИЧЕСКАЯ БОЛЬ ПОСЛЕ ПЛАСТИКИ ГРЫЖ: ПРИЧИНЫ, ДИАГНОСТИКА И МЕТОДЫ КОРРЕКЦИИ.
DOI: 10.5281/zenodo.15176155
title: EV SCOOTER DATASET
DOI: 10.5281/zenodo.15176156
title: EV SCOOTER DATASET
DOI: 10.17909/91wj-dt23
title: TOI-421b Transit Observations

description: NIRSPEC/G395M and NIRISS/SOSS transit observations for TOI-421b
DOI: 10.25549/pcra-c14-2998
title: Primiritel' = [Reconciler], vol. 5, no. 1-2 (January-February 1933)

description: [description english/roman)] 12 issues per year
DOI: 10.15468/dl.cn39m2
title: Occurrence Download

description: A dataset containing 768 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters is less than or equal to 10000.0",
 "Geometry POLYGON((-93.437 -19.36261,-33.22205 -19.36261,-33.22205 13.88993,-93.437 13.88993,-93.437 -19.36261))",
 "TaxonKey is Bothrops atrox (Linnaeus, 1758)"
 ]
}

 The dataset includes 768 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009213-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gcq8xt
title: Occurrence Download

description: A dataset containing 2652 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-6.036 43.404,-5.963 43.404,-5.963 43.495,-6.036 43.495,-6.036 43.404))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2652 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008606-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-2744
title: Primiritel' = [Reconciler], vol. 3, no. 12 (December 1931)

description: [description english/roman)] Monthly
DOI: 10.15468/dl.vy4kcr
title: Occurrence Download

description: A dataset containing 2007 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acmispon brachycarpus (Benth.) D.D.Sokoloff",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2007 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070032-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ptma5g
title: Occurrence Download

description: A dataset containing 7436118 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Living Specimen, Occurrence evidence)",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "MediaType is Image",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 7436118 records from 173 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010466-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-2899
title: Primiritel' = [Reconciler], vol. 4, no. 4 (April 1932)

description: [description english/roman)] Monthly
DOI: 10.15468/dl.7js8pe
title: Occurrence Download

description: A dataset containing 379 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-9959.0",
 "Geometry POLYGON((70.99079 -60.44576,198.78034 -60.44576,198.78034 26.43571,70.99079 26.43571,70.99079 -60.44576))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Emydura subglobosa (Krefft, 1876)"
 ]
}

 The dataset includes 379 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0383652-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zcpkhp
title: Occurrence Download

description: A dataset containing 1155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Castanopsis cuspidata (Thunb.) Schottky",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1155 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013591-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-2905
title: Primiritel' = [Reconciler], vol. 4, no. 4 (April 1932)

description: [description english/roman)] Monthly
DOI: 10.25549/pcra-c14-2916
title: Primiritel' = [Reconciler], vol. 4, no. 5 (May 1932)

description: [description english/roman)] Monthly
DOI: 10.15468/dl.4zjm8m
title: Occurrence Download

description: A dataset containing 105988 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ramphodon naevius (Dumont, 1818), Thalurania glaucopis (J.F.Gmelin, 1788), Clytolaema rubricauda (Boddaert, 1783), Florisuga fusca (Vieillot, 1817), Lophornis chalybeus (Temminck, 1821), Stephanoxis lalandi (Vieillot, 1818), Leucochloris albicollis (Vieillot, 1818))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 105988 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0132340-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dgyjfc
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Forestry dataset: trees of economic importance in Zimbabwe"
 ]
}

 The dataset includes 83 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013562-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-3067
title: Primiritel' = [Reconciler], vol. 5, no. 8-9 (August-September 1933)

description: [description english/roman)] 12 issues per year
DOI: 10.15468/dl.53h92v
title: Occurrence Download

description: A dataset containing 168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhagonycha gallica Pic, 1923, Rhagonycha maculicollis Märkel, 1852)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 168 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0326211-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m58qgu
title: Occurrence Download

description: A dataset containing 188 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "CoordinateUncertaintyInMeters 0.0-1000000.0",
 "Country is India",
 "GadmGid is IND.31_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pelecanus philippensis Gmelin, 1789",
 "Year 1799-2023"
 ]
}

 The dataset includes 188 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000585-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-2798
title: Primiritel' = [Reconciler], vol. 3, no. 6 (June 1931)

description: [description english/roman)] Monthly
DOI: 10.15468/dl.hew5c6
title: Occurrence Download

description: A dataset containing 45884 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Astragalus glycyphyllos L.)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 45884 records from 323 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0159925-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-3006
title: Primiritel' = [Reconciler], vol. 5, no. 1-2 (January-February 1933)

description: [description english/roman)] 12 issues per year
DOI: 10.25549/pcra-c14-3195
title: Primiritel' = [Reconciler], vol. 7, no. 1-2 (January-February 1935)

description: [description english/roman)] 12 issues per year; For a history of Reconciler, see https://cdm15799.contentdm.oclc.org/cdm/compoundobject/collection/p15799coll14/id/2561/rec/12
DOI: 10.15468/dl.5qumaj
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Seba subantarctica Schellenberg, 1931"
 ]
}

 The dataset includes 30 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0132350-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kjv2ny
title: Occurrence Download

description: A dataset containing 5249268 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Living Specimen, Human Observation, Machine Observation, Material sample)",
 "Country is one of (China, Hong Kong, Macao, Chinese Taipei, Myanmar)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 5249268 records from 370 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018429-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-3342
title: Primiritel' = [Reconciler], vol. 8, no. 1-2 (January-February 1936)

description: [description english/roman)] 12 issues per year; For a history of Reconciler, see https://cdm15799.contentdm.oclc.org/cdm/compoundobject/collection/p15799coll14/id/2561/rec/12
DOI: 10.15468/dl.6k8uy9
title: Occurrence Download

description: A dataset containing 36340514 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is South Africa"
 ]
}

 The dataset includes 36340514 records from 2103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016123-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a56jsg
title: Occurrence Download

description: A dataset listing the 3020 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-31.92724 -15.44495,71.57695 -15.44495,71.57695 43.10753,-31.92724 43.10753,-31.92724 -15.44495))",
 "HasCoordinate is true"
 ]
}

 The dataset's 3020 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000741-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r77r66
title: Occurrence Download

description: A dataset containing 2307 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abutilon indicum (L.) Sweet",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2307 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000755-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.