cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.nzkwbt
title: Occurrence Download

description: A dataset containing 3687 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 8.43941422807602",
 "DecimalLongitude is less than 8.44247378126042",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 3687 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007450-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4pfxwy
title: Occurrence Download

description: A dataset containing 841 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arpophyllum giganteum Hartw. ex Lindl."
 ]
}

 The dataset includes 841 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042081-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fzh89w
title: Occurrence Download

description: A dataset containing 171 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Mexico",
 "Country is Costa Rica",
 "Country is Panama",
 "Country is Bahamas",
 "Country is Belize",
 "Country is Cuba",
 "Country is Jamaica",
 "Country is Dominican Republic",
 "Country is Barbados"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Leptoseris cucullata (Ellis & Solander, 1786)"
 ]
}

 The dataset includes 171 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0136472-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ow0inv
title: Occurrence Download

description: A dataset containing 118 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "PublishingOrg is d3dd95c3-93d4-4349-a13f-55abf89ad140",
 "Issue is Coordinate rounded",
 "Year 2000-2019",
 {
 "or" : [
 "DatasetKey is Artportalen (Swedish Species Observation System)",
 "DatasetKey is Norwegian Species Observation Service",
 "DatasetKey is North East Scotland Terrestrial Mammals 1900-2017 (excluding squirrels, wild cats and marine mammals)",
 "DatasetKey is iNaturalist Research-grade Observations",
 "DatasetKey is DOF/BirdLife Denmark - Observations from DOFbasen",
 "DatasetKey is NBIS Records to December 2016",
 "DatasetKey is National Mammal Atlas Project, online recording",
 "DatasetKey is Derbyshire Invasive Non-Native Species (INNS) 1900 - 2014",
 "DatasetKey is Atlas of Mammals in Ireland 2010-2015",
 "DatasetKey is Records of Invasive Non Native Species held on the Cofnod database"
 ]
 },
 "TaxonKey is Neovison vison (Schreber, 1777)",
 {
 "or" : [
 "Month is January",
 "Month is February",
 "Month is March",
 "Month is April",
 "Month is May",
 "Month is June",
 "Month is July",
 "Month is August",
 "Month is September",
 "Month is November",
 "Month is October",
 "Month is December"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 118 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015112-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n5n2be
title: Occurrence Download

description: A dataset containing 923 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spergularia rupicola Lebel",
 "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 923 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007385-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6jc85c
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Grindelia aegialitis Cabrera"
 ]
}

 The dataset includes 40 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0110266-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ca6ss3
title: Occurrence Download

description: A dataset containing 407096 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is BirdMap Data - GPS tracking of Storks, Cranes and birds of prey, breeding in Northern and Eastern Europe"
 ]
}

 The dataset includes 407096 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015109-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tcnzgr
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Appendicula tubilabia J.J.Wood"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012469-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sqrrue
title: Occurrence Download

description: A dataset containing 4171 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "TaxonKey is Heleioporus eyrei (Gray, 1845)"
 ]
}

 The dataset includes 4171 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025766-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ywcvyr
title: Occurrence Download

description: A dataset containing 5865257 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5865257 records from 1502 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024283-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11158068
title: Underwater images collected by an Autonomous Surface Vehicle in Trou-Deau, Réunion - 2024-03-22

description: This dataset was collected by an Autonomous Surface Vehicle in Trou-Deau, Réunion - 2024-03-22. 

            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 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.11158387
title: Underwater images collected by an Autonomous Surface Vehicle in Trou-Deau, Réunion - 2024-03-22

description: This dataset was collected by an Autonomous Surface Vehicle in Trou-Deau, Réunion - 2024-03-22. 

            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 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.11158705
title: Underwater images collected by an Autonomous Surface Vehicle in Tessier, Réunion - 2024-03-29

description: This dataset was collected by an Autonomous Surface Vehicle in Tessier, Réunion - 2024-03-29. 

            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.c8rats
title: Occurrence Download

description: A dataset containing 2269 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "Geometry POLYGON((-75.56666 6.23904,-75.56878 6.23769,-75.56948 6.23678,-75.56831 6.23405,-75.56674 6.2321,-75.56631 6.23101,-75.56669 6.22863,-75.56516 6.22852,-75.56254 6.23032,-75.56204 6.23306,-75.56385 6.23371,-75.56314 6.23502,-75.56188 6.23743,-75.56294 6.2387,-75.56398 6.23924,-75.56464 6.23842,-75.56578 6.2393,-75.56666 6.23904))",
 "DatasetKey is one of (EOD – eBird Observation Dataset)"
 ]
 }
 ]
}

 The dataset includes 2269 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007785-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.phkcg2
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Viola striatella H.Boissieu",
 "Year 1960-2024"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007787-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.stue8a
title: Occurrence Download

description: A dataset containing 1548 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"2476643","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"BASIS_OF_RECORD","value":"PRESERVED SPECIMEN","matchCase":false},{"type":"equals","key":"CONTINENT","value":"southamerica","matchCase":false}]}

 The dataset includes 1548 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007790-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11229188
title: Delft3D FM Simulation Data, Drone Observations, and Post-processing Scripts for Tidal Jet Vortices over Complex Bathymetry
DOI: 10.5281/zenodo.11229189
title: Delft3D FM Simulation Data, Drone Observations, and Post-processing Scripts for Tidal Jet Vortices over Complex Bathymetry
DOI: 10.15468/dl.snabnt
title: Occurrence Download

description: A dataset containing 140 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Acanthonyx petiverii H.Milne Edwards, 1834"
 ]
}

 The dataset includes 140 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007792-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m93b96
title: Occurrence Download

description: A dataset containing 214029 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 one of (Matricaria chamomilla L.)"
 ]
}

 The dataset includes 214029 records from 1557 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007786-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-3527
title: Report of the Governor's Panel to Review Police Training Programs, 1989-05

description: Reports - Report of the Governor's Panel to Review Police Training Programs, 1989 May. Also John M. Callahan (Growhoski, Callahan, MIles & Kundl), 60 State Street, Northampton, Massachusetts, letter, 1991 April 10, to Warren Christopher (O'Melveny & Myers), 400 South Hope Street, Los Angeles, California. PART OF A SERIES: The series consists of miscellaneous source materials that were collected and analyzed over the course of the Independent Commission's investigation. Included are the following: article clippings pertaining to the Rodney King incident; legal materials related to the Gates v. Board of Los Angeles Police Commissioners case, including appellate documents, court transcripts, preliminary injunctions, and briefs; black-and-white photographs; essays and articles related to police misconduct; issues of The Thin Blue Line, the Los Angeles Police Protective League's monthly publication, and Perspectives on Policing, a newsletter published by the United States Department of Justice; materials regarding policing issues in other major United States cities, including commission reports and Pate and Hamilton's book The Big Six: Policing America's Largest Cities; supplemental materials and appendices to the Independent Commission's report; requests for copies of the Commission report; transcripts from public hearings conducted by members of the Commission; and instructional materials related to the Video Incident Capture System, a video camera system that provides video and audio records of police officers' activities while on patrol.
DOI: 10.15468/dl.yt6y2e
title: Occurrence Download

description: A dataset containing 3268 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hypsugo savii (Bonaparte, 1837)"
 ]
}

 The dataset includes 3268 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002300-170627171947987/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-3542
title: Report of the Governor's Panel to Review Police Training Programs, 1989-05

description: Reports - Report of the Governor's Panel to Review Police Training Programs, 1989 May. Also John M. Callahan (Growhoski, Callahan, MIles & Kundl), 60 State Street, Northampton, Massachusetts, letter, 1991 April 10, to Warren Christopher (O'Melveny & Myers), 400 South Hope Street, Los Angeles, California. PART OF A SERIES: The series consists of miscellaneous source materials that were collected and analyzed over the course of the Independent Commission's investigation. Included are the following: article clippings pertaining to the Rodney King incident; legal materials related to the Gates v. Board of Los Angeles Police Commissioners case, including appellate documents, court transcripts, preliminary injunctions, and briefs; black-and-white photographs; essays and articles related to police misconduct; issues of The Thin Blue Line, the Los Angeles Police Protective League's monthly publication, and Perspectives on Policing, a newsletter published by the United States Department of Justice; materials regarding policing issues in other major United States cities, including commission reports and Pate and Hamilton's book The Big Six: Policing America's Largest Cities; supplemental materials and appendices to the Independent Commission's report; requests for copies of the Commission report; transcripts from public hearings conducted by members of the Commission; and instructional materials related to the Video Incident Capture System, a video camera system that provides video and audio records of police officers' activities while on patrol.
DOI: 10.15468/dl.zwh3cc
title: Occurrence Download

description: A dataset containing 211 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "TaxonKey is Jatropha curcas L."
 ]
}

 The dataset includes 211 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051637-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.