cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.11133482
title: Underwater images collected by an Autonomous Surface Vehicle in Aldabra-Arm06, Seychelles - 2022-10-22

description: This dataset was collected by an Autonomous Surface Vehicle in Aldabra-Arm06, Seychelles - 2022-10-22. 

            Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation.
            These images can be annotated and shared to train IA models which can in turn predict the objects on the images.
            We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps.

            This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. 
            Methods, tools and scientific objectives are also described in a dedicated data paper.

            

            
 Generic folder structure 
            
            YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number 
            ├── DCIM :  folder to store videos and photos depending on the media collected. 
            ├── GPS :  folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. 
            │   ├── BASE :  files coming from rtk station or any static positioning instrument. 
            │   └── DEVICE : files coming from the device. 
            ├── METADATA : folder with general information files about the session. 
            ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. 
            │   ├── BATHY :  output folder for bathymetry raw data extracted from mission logs. 
            │   ├── FRAMES :  output folder for georeferenced frames extracted from DCIM videos. 
            │   ├── IA :  destination folder for image recognition predictions. 
            │   └── PHOTOGRAMMETRY :  destination folder for reconstructed models in photogrammetry. 
            └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot,  mission plan etc.).       
            

            
 Software 
            All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!
description: The 4Sea project co-financed by Monaco Explorations (n°2022/11) as part of the Indian Ocean Mission.
DOI: 10.5281/zenodo.11134767
title: Underwater images collected by an Autonomous Surface Vehicle in Aldabra-Dubois, Seychelles - 2022-10-23

description: This dataset was collected by an Autonomous Surface Vehicle in Aldabra-Dubois, Seychelles - 2022-10-23. 

            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 4Sea project co-financed by Monaco Explorations (n°2022/11) as part of the Indian Ocean Mission.
DOI: 10.5281/zenodo.11134769
title: Underwater images collected by an Autonomous Surface Vehicle in Aldabra-Dubois, Seychelles - 2022-10-23

description: This dataset was collected by an Autonomous Surface Vehicle in Aldabra-Dubois, Seychelles - 2022-10-23. 

            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 4Sea project co-financed by Monaco Explorations (n°2022/11) as part of the Indian Ocean Mission.
DOI: 10.5281/zenodo.11134931
title: Underwater images collected by an Autonomous Surface Vehicle in Aldabra-Dubois, Seychelles - 2022-10-23

description: This dataset was collected by an Autonomous Surface Vehicle in Aldabra-Dubois, Seychelles - 2022-10-23. 

            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 4Sea project co-financed by Monaco Explorations (n°2022/11) as part of the Indian Ocean Mission.
DOI: 10.5281/zenodo.11135232
title: Underwater images collected by an Autonomous Surface Vehicle in Aldabra-Dubois, Seychelles - 2022-10-23

description: This dataset was collected by an Autonomous Surface Vehicle in Aldabra-Dubois, Seychelles - 2022-10-23. 

            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 4Sea project co-financed by Monaco Explorations (n°2022/11) as part of the Indian Ocean Mission.
DOI: 10.3886/icpsr04193.v1
title: Uniform Crime Reporting Program Data [United States]: Offenses Known and Clearances by Arrest, 1965
title: Version 1

description: Since 1930, the Federal Bureau of Investigation has
 compiled the Uniform Crime Reports (UCR) to serve as periodic
 nationwide assessments of reported crimes not available elsewhere in
 the criminal justice system. Law enforcement agencies contribute
 reports either directly or through their state reporting programs.
 Each year, summary data are reported in four types of files: (1)
 Offenses Known and Clearances by Arrest, (2) Property Stolen and
 Recovered, (3) Supplementary Homicide Reports (SHR), and (4) Police
 Employee (LEOKA) Data. The Offenses Known and Clearances by Arrest
 data files include monthly data on the number of Crime Index offenses
 reported and the number of offenses cleared by arrest or other
 means. The counts include all reports of Index crimes (excluding
 arson) received from victims, officers who discovered infractions, or
other sources.
description: inap.
description: Datasets: 
DS1: Uniform Crime Reporting Program Data [United States]: Offenses Known and Clearances by Arrest, 1965
description: Index crimes reported by law enforcement agencies in the
United States.
description: self-enumerated formsOffenses Known and Clearances by Arrest data for the
 years 1960-1974 have been released with a separate study number for
 each year. From 1975-1997 all UCR data can be found in UNIFORM CRIME
 REPORTING PROGRAM DATA: [UNITED STATES] (ICPSR 9028). Starting with
 the year 1998, each of the four types of UCR summary data archived by
ICPSR is released as a separate study under its own study number.
DOI: 10.25549/inscriptifact-ouc111142102
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.65hufa
title: Occurrence Download

description: A dataset containing 52859 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation"
 ]
 },
 {
 "or" : [
 "GadmGid is ARE",
 "GadmGid is BHR",
 "GadmGid is SAU",
 "GadmGid is YEM",
 "GadmGid is SYR",
 "GadmGid is IRQ",
 "GadmGid is IRN",
 "GadmGid is ISR",
 "GadmGid is CYP",
 "GadmGid is XNC",
 "GadmGid is QAT",
 "GadmGid is JOR",
 "GadmGid is PSE.1.2_1",
 "GadmGid is PSE.1_1",
 "GadmGid is OMN",
 "GadmGid is KWT",
 "GadmGid is LBN",
 "GadmGid is TUR"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Psittacidae"
 ]
}

 The dataset includes 52859 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0127003-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111143626
title: Telaga Batu or Sabokingking inscription, MNI D155

description: [Text Description:] Telaga Batu or Sabokingking inscription; snake hoods at top and outlet for liquid at bottom ❧ [Text or Publication Number Note:] MNI D155 ❧ [Medium:] Stone ❧ [Script Note:] Southern Brahmi ❧ [Physical Object Description:] Stela ❧ [Physical Object Note:] Stone
DOI: 10.25549/inscriptifact-ouc111145708
title: Rajkumar inscription (version B), PYU 08

description: [Text Description:] Pyu face of Rajkumar inscription (version B) ❧ [Text or Publication Number Note:] PYU08 ❧ [Excavation Description:] in parts near the Kubyaukkyi temple and in the Myazedi pagoda ❧ [Medium:] Stone ❧ [Script Note:] Pyu ❧ [Physical Object Description:] one face of pillar inscribed on four faces; height 215 cm, width 34 cm and depth 56 cm ❧ [Physical Object Note:] Stone
DOI: 10.15468/dl.ddrhv6
title: Occurrence Download

description: A dataset containing 8901 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-121.9529138999999986 37.3409405000000021, -121.9529138999999986 37.3420797699999980, -121.9529138999999986 37.3433943100000008, -121.9529138999999986 37.3445335799999967, -121.9529138999999986 37.3463739299999986, -121.9529138999999986 37.3478637400000011, -121.9529138999999986 37.3497040999999967, -121.9515093699999966 37.3497040999999967, -121.9495779199999959 37.3497040999999967, -121.9469441199999977 37.3497040999999967, -121.9453638399999988 37.3497040999999967, -121.9436957700000050 37.3497040999999967, -121.9417643200000043 37.3497040999999967, -121.9406230099999959 37.3497040999999967, -121.9386915599999952 37.3497040999999967, -121.9371112799999963 37.3497040999999967, -121.9352676200000047 37.3497040999999967, -121.9340385200000014 37.3497040999999967, -121.9324582400000025 37.3497040999999967, -121.9311414999999954 37.3497040999999967, -121.9311414999999954 37.3483019199999973, -121.9311414999999954 37.3461986599999989, -121.9311414999999954 37.3443583000000032, -121.9311414999999954 37.3428684900000007, -121.9311414999999954 37.3409405000000021, -121.9337751399999945 37.3409405000000021, -121.9354432100000025 37.3409405000000021, -121.9379014200000029 37.3409405000000021, -121.9393938999999989 37.3409405000000021, -121.9411497699999956 37.3409405000000021, -121.9435201799999930 37.3409405000000021, -121.9451004600000061 37.3409405000000021, -121.9468563300000028 37.3409405000000021, -121.9480854300000061 37.3409405000000021, -121.9496657100000050 37.3409405000000021, -121.9515971600000057 37.3409405000000021, -121.9529138999999986 37.3409405000000021))",
 "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 8901 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092227-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111143629
title: Telaga Batu or Sabokingking inscription, MNI D155

description: [Text Description:] Telaga Batu or Sabokingking inscription; snake hoods at top and outlet for liquid at bottom ❧ [Text or Publication Number Note:] MNI D155 ❧ [Medium:] Stone ❧ [Script Note:] Southern Brahmi ❧ [Physical Object Description:] Stela ❧ [Physical Object Note:] Stone
DOI: 10.15468/dl.mmf8sf
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argyresthia affinis Braun, 1940",
 {
 "or" : [
 "Country is United States of America",
 "Country is United States",
 "Country is United States of America",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0132053-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.