cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.11175032
title: Underwater images collected by an Autonomous Surface Vehicle in Grandfond, Réunion - 2023-02-06

description: This dataset was collected by an Autonomous Surface Vehicle in Grandfond, Réunion - 2023-02-06. 

            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.11175340
title: Underwater images collected by an Autonomous Surface Vehicle in Grandfond, Réunion - 2023-02-06

description: This dataset was collected by an Autonomous Surface Vehicle in Grandfond, Réunion - 2023-02-06. 

            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.11175412
title: Underwater images collected by an Autonomous Surface Vehicle in Grandfond, Réunion - 2023-02-06

description: This dataset was collected by an Autonomous Surface Vehicle in Grandfond, Réunion - 2023-02-06. 

            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.w9hbqv
title: Occurrence Download

description: A dataset containing 9086 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 Dicaeum australe (Hermann, 1783)"
 ]
}

 The dataset includes 9086 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052389-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z4fpyt
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Khawia sinensis Hsü, 1935)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042092-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ahkkil
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Liolaemus chilensis Fitzinger, 1843",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 21 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013608-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sj6ehb
title: Occurrence Download

description: A dataset containing 338 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hippocampus breviceps Peters, 1869"
 ]
}

 The dataset includes 338 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0347452-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.93x7xb
title: Occurrence Download

description: A dataset containing 303 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Uroleucon taraxaci (Kaltenbach, 1843))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 303 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042093-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hxvey7
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anemia nigerica Alston"
 ]
}

 The dataset includes 18 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007396-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z16cmu
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-80.50781 -58.44773,-40.42969 -58.44773,-40.42969 9.1021,-80.50781 9.1021,-80.50781 -58.44773))",
 "HasCoordinate is true",
 "TaxonKey is Liolaemus cyanogaster (Duméril & Bibron, 1837)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 83 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013610-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zn3sgk
title: Occurrence Download

description: A dataset containing 57514 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Cacoecimorpha pronubana (Hübner, 1796-1799), Epichoristodes acerbella (Walker, 1864), Helicoverpa armigera (Hübner, 1808), Spodoptera littoralis (Boisduval, 1833), Radopholus similis (Cobb, 1893) Thorne, 1949, Aculops fuchsiae Keifer, 1972, Quadraspidiotus perniciosus Ferris, 1938, Quadraspidiotus perniciosus Borchsenius, 1966, Chaetosiphon fragaefolii (Cockerell, 1901), Opogona sacchari (Bojer, 1856), Burkholderia caryophylli (Burkholder, 1942) Yabuuchi et al., 1993, Erwinia chrysanthemi Burkholder et al., 1953, Dickeya dianthicola Samson et al., 2005, Xanthomonas axonopodis Starr & Garces, 1950, Xanthomonas vesicatoria, Xanthomonas euvesicatoria Jones et al., 2006, Clavibacter michiganensis (Smith, 1910) Davis et al., 1984, Clavibacter michiganense (Smith, 1910) Davis et al., 1984, Melampsora medusae Thüm., Melampsora medusae vonThümen, Monilinia fructicola (G.Winter) Honey, Monilia fructicola L.R.Batra, Ophiostoma wageneri (Goheen & F.W.Cobb) T.C.Harr., Alternaria mali Roberts, Alternaria allii Nolla, Alternaria lolii (E.G.Simmons & C.F.Hill) Woudenb. & Crous, Alternaria mori Pandotra, Phialophora cinerescens (Wollenw.) J.F.H.Beyma, Phialophora cinerascens (Wr.) van Beyma, Puccinia pelargonii-zonalis Doidge, Cryphonectria parasitica (Murrill) M.E.Barr, Cryphonectria prasitica (Murrill) M.E.Barr, Diaporthe vaccinii Shear, Diaporthe oraccinii Y.H.Gao, F.Liu & L.Cai, Diaporthe ricini Speg., Puccinia horiana Henn., Puccinia harryana Jørst., Puccinia horrida Lagerh., Puccinia foyana G.Cunn., Puccinia henryana P.Syd. & Syd., Puccinia mariana Sacc., Puccinia rossiana (Sacc.) Lagerh., Puccinia woodiana Doidge, Puccinia baryana Thüm., Puccinia mariana Syd. & P.Syd., Puccinia moriana Anon., Lecanosticta acicola (Thüm.) Syd., Potato spindle tuber viroid, Potato leafroll virus, Strawberry mottle virus, Cherry leaf roll virus)"
 ]
}

 The dataset includes 57514 records from 351 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0110300-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5adgd5
title: Occurrence Download

description: A dataset containing 2403 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 8.41187824941647",
 "DecimalLongitude is less than 8.41493780260087",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 2403 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007408-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.npvvjt
title: Occurrence Download

description: A dataset containing 761159 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Festuca rubra L."
 ]
}

 The dataset includes 761159 records from 817 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011327-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4b7ech
title: Occurrence Download

description: A dataset containing 38652 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Asplenium trichomanes subsp. quadrivalens D.E.Mey., Asplenium trichomanes subsp. trichomanes)"
 ]
}

 The dataset includes 38652 records from 299 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0110285-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dnqwmh
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthochortus graminifolius (Kunth) H.P.Linder"
 ]
}

 The dataset includes 86 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007404-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ideqyc
title: Occurrence Download

description: A dataset containing 377129 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salvia L."
 ]
}

 The dataset includes 377129 records from 1034 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013622-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xmmmtd
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pristimantis rubicundus (Jiménez de la Espada, 1875)"
 ]
}

 The dataset includes 121 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070029-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111141186
title: Leningrad Codex, Firkovitch B19A, Firkovitch B19A

description: [Text Description:] Full text of the Hebrew Bible, with Masoretic notes and carpet pages. ❧ [Text or Publication Number Note:] Firkovitch B19A, Codex L ❧ [Medium:] Parchment ❧ [Script Note:] Jewish ❧ [Physical Object Description:] Manuscript, thick white parchment, 491 folios. Pages 30 x 27 cm, text covers 20.5 x 22 cm. Black ink. ❧ [Physical Object Note:] Top plank of a 15th/16th century binding remains, but manuscript is currently unbound. ❧ [Text Division:] Front Matter ❧ [Text Division Description:] Front Matter ❧ [Text Division:] Genesis ❧ [Text Division Description:] Genesis ❧ [Text Division:] Exodus ❧ [Text Division Description:] Exodus ❧ [Text Division:] Leviticus ❧ [Text Division Description:] Leviticus ❧ [Text Division:] Numbers ❧ [Text Division Description:] Numbers ❧ [Text Division:] Deuteronomy ❧ [Text Division Description:] Deuteronomy ❧ [Text Division:] Joshua ❧ [Text Division Description:] Joshua ❧ [Text Division:] Judges ❧ [Text Division Description:] Judges ❧ [Text Division:] I & II Samuel ❧ [Text Division Description:] I & II Samuel ❧ [Text Division:] I & II Kings ❧ [Text Division Description:] I & II Kings ❧ [Text Division:] Isaiah ❧ [Text Division Description:] Isaiah ❧ [Text Division:] Jeremiah ❧ [Text Division Description:] Jeremiah ❧ [Text Division:] Ezekiel ❧ [Text Division Description:] Ezekiel ❧ [Text Division:] 12 Minor Prophets ❧ [Text Division Description:] 12 Minor Prophets ❧ [Text Division:] I & II Chronicles ❧ [Text Division Description:] I & II Chronicles ❧ [Text Division:] Psalms ❧ [Text Division Description:] Psalms ❧ [Text Division:] Job ❧ [Text Division Description:] Job ❧ [Text Division:] Proverbs ❧ [Text Division Description:] Proverbs ❧ [Text Division:] Ruth ❧ [Text Division Description:] Ruth ❧ [Text Division:] Song of Songs ❧ [Text Division Description:] Song of Songs ❧ [Text Division:] Ecclesiastes ❧ [Text Division Description:] Ecclesiastes ❧ [Text Division:] Lamentations ❧ [Text Division Description:] Lamentations ❧ [Text Division:] Esther ❧ [Text Division Description:] Esther ❧ [Text Division:] Daniel ❧ [Text Division Description:] Daniel ❧ [Text Division:] Ezra-Nehemiah ❧ [Text Division Description:] Ezra-Nehemiah ❧ [Text Division:] Masoretic Lists ❧ [Text Division Description:] Masoretic Lists ❧ [Text Division:] Carpet Pages ❧ [Text Division Description:] Carpet Pages ❧ [Text Division:] End Matter ❧ [Text Division Description:] End Matter
DOI: 10.15468/dl.nnvxm2
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-84.2340977000000066 39.7525313000000011, -84.2340977000000066 39.7539962800000026, -84.2340977000000066 39.7547580600000003, -84.2340977000000066 39.7555784500000016, -84.2340977000000066 39.7568090299999994, -84.2340977000000066 39.7578638100000035, -84.2340977000000066 39.7583911999999984, -84.2328677299999953 39.7583911999999984, -84.2312278200000009 39.7583911999999984, -84.2297050399999989 39.7583911999999984, -84.2286508100000049 39.7583911999999984, -84.2273623100000037 39.7583911999999984, -84.2257223900000014 39.7583911999999984, -84.2246681599999931 39.7583911999999984, -84.2234967899999987 39.7583911999999984, -84.2220325800000040 39.7583911999999984, -84.2211540600000035 39.7583911999999984, -84.2197484200000019 39.7583911999999984, -84.2180499300000065 39.7583911999999984, -84.2167613999999958 39.7583911999999984, -84.2167613999999958 39.7576294099999998, -84.2167613999999958 39.7567504299999968, -84.2167613999999958 39.7556370499999971, -84.2167613999999958 39.7544650700000020, -84.2167613999999958 39.7531758900000014, -84.2167613999999958 39.7525313000000011, -84.2184599100000071 39.7525313000000011, -84.2198069899999950 39.7525313000000011, -84.2208026499999960 39.7525313000000011, -84.2215640400000041 39.7525313000000011, -84.2225597000000050 39.7525313000000011, -84.2240239099999997 39.7525313000000011, -84.2251367100000010 39.7525313000000011, -84.2259566700000022 39.7525313000000011, -84.2271865999999960 39.7525313000000011, -84.2282408300000043 39.7525313000000011, -84.2292950599999983 39.7525313000000011, -84.2308764099999934 39.7525313000000011, -84.2319306400000016 39.7525313000000011, -84.2327506000000028 39.7525313000000011, -84.2340977000000066 39.7525313000000011))",
 "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 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0097783-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.