cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17614430
title: Underwater images collected by a Kite surf in Bel-Ombre, Mauritius - 2019-01-13

description: This dataset was collected by a Kite surf in Bel-Ombre, Mauritius - 2019-01-13. 

            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.

            
                
                                       
                
                
 GPS information: 

                No GPS.
            
                    
                

                
            

            
 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!
DOI: 10.5281/zenodo.17614577
title: Underwater images collected by a Kite surf in Bel-Ombre, Mauritius - 2019-01-13

description: This dataset was collected by a Kite surf in Bel-Ombre, Mauritius - 2019-01-13. 

            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.

            
                
                                       
                
                
 GPS information: 

                No GPS.
            
                    
                

                
            

            
 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!
DOI: 10.15468/dl.azvsds
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepidomeda mollispinis",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034885-251025141854904/datasets/export for details.
DOI: 10.5281/zenodo.17614710
title: SARS-CoV-2 Infektionen in Deutschland

description: Im Datensatz "SARS-CoV-2 Infektionen in Deutschland" des Robert Koch-Instituts werden die Daten basierend auf Meldungen zu SARS-CoV-2 Infektionen nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Darin enthalten sind Informationen auf Landkreisebene zu bestätigten Infektionen, Todesfällen und Genesungen, differenziert nach Altersgruppen und Geschlecht. Diese Daten dienen als Grundlage für epidemiologische Bewertungen und gesundheitspolitische Maßnahmen.
DOI: 10.15468/dl.8xnrbw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepisosteus oculatus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034886-251025141854904/datasets/export for details.
DOI: 10.15468/dl.csn56k
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepisosteus platostomus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034887-251025141854904/datasets/export for details.
DOI: 10.15468/dl.t7qfbu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepisosteus platyrhincus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034889-251025141854904/datasets/export for details.
DOI: 10.15468/dl.e8zekb
title: Occurrence Download

description: A dataset containing 1726 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lobesia botrana"
 ]
}

 The dataset includes 1726 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034890-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17614786
title: Reflective Resonant Shell Cosmology: Black Hole Duality

description: Abstract:

We propose that the observable universe exists within a finite, closed spatial domain bounded by a dynamic, reflective shell whose surface stress-energy drives cosmic acceleration without requiring a cosmological constant. This Resonant Shell Cosmology (RSC) framework employs Israel junction conditions to relate the shell's tension to the modified Friedmann equation, naturally producing dark energy-like effects through geometric boundary conditions rather than exotic vacuum energy. The model explains cosmic microwave background observations through standing electromagnetic modes in the resonant cavity, predicting distinct observational signatures including suppressed integrated Sachs-Wolfe effects and characteristic spectral distortions.
DOI: 10.5281/zenodo.17614785
title: Reflective Resonant Shell Cosmology: Black Hole Duality

description: Abstract:

We propose that the observable universe exists within a finite, closed spatial domain bounded by a dynamic, reflective shell whose surface stress-energy drives cosmic acceleration without requiring a cosmological constant. This Resonant Shell Cosmology (RSC) framework employs Israel junction conditions to relate the shell's tension to the modified Friedmann equation, naturally producing dark energy-like effects through geometric boundary conditions rather than exotic vacuum energy. The model explains cosmic microwave background observations through standing electromagnetic modes in the resonant cavity, predicting distinct observational signatures including suppressed integrated Sachs-Wolfe effects and characteristic spectral distortions.
DOI: 10.15468/dl.ajxgpf
title: Occurrence Download

description: A dataset containing 152939 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-110.3688 23.99913, -110.2188 23.99913, -110.2188 24.14913, -110.3688 24.14913, -110.3688 23.99913))"
 ]
}

 The dataset includes 152939 records from 236 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034873-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rjgcmm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepomis auritus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034892-251025141854904/datasets/export for details.
DOI: 10.15468/dl.xaqnzs
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is A new species of the genus Chondromorpha Silvestri, 1897 and a catalogue of Paradoxosomatidae Daday, 1889 millipedes from Gujarat, India, along with their distributions and ecological perspectives (Diplopoda, Polydesmida, Paradoxosomatidae)"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034891-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17614809
title: COVID-19-Hospitalisierungen in Deutschland

description: Im Datensatz "COVID-19-Hospitalisierungen in Deutschland" des Robert Koch-Institutswerden täglich aktualisierte Informationen zu Hospitalisierungen im Zusammenhang mit COVID-19 basierend auf den Meldungen nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Neben tagesaktuellen Fallzahlen und Inzidenzen auf Bundes- und Länderebene enthält der Datensatz auch modellgestützte Schätzungen verzögert gemeldeter Hospitalisierungen mittels Nowcasting. Ziel ist es, die tatsächliche Belastung des Gesundheitssystems durch COVID-19 besser abzubilden, insbesondere durch die Berechnung adjustierter 7-Tage-Hospitalisierungsinzidenzen.
DOI: 10.15468/dl.4rmcyu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepomis cyanellus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034894-251025141854904/datasets/export for details.
DOI: 10.15468/dl.9ephpq
title: Occurrence Download

description: A dataset containing 24983 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-110.0688 23.99913, -109.9188 23.99913, -109.9188 24.14913, -110.0688 24.14913, -110.0688 23.99913))"
 ]
}

 The dataset includes 24983 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034893-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17614796
title: Agricultural Supply Shocks, Dietary Stability, and Diabetes Trends in Ireland: Evidence of a Resilient but Vulnerable Food System
DOI: 10.5281/zenodo.17614795
title: Agricultural Supply Shocks, Dietary Stability, and Diabetes Trends in Ireland: Evidence of a Resilient but Vulnerable Food System
DOI: 10.34740/kaggle/dsv/13739300
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.17614599
title: Underwater images collected by a Kite surf in Ile-Benitier, Mauritius - 2019-01-20

description: This dataset was collected by a Kite surf in Ile-Benitier, Mauritius - 2019-01-20. 

            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!
DOI: 10.15468/dl.c83ju4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepomis gibbosus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034895-251025141854904/datasets/export for details.
DOI: 10.15468/dl.cgesxr
title: Occurrence Download

description: A dataset containing 2698 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.9188 23.99913, -109.7688 23.99913, -109.7688 24.14913, -109.9188 24.14913, -109.9188 23.99913))"
 ]
}

 The dataset includes 2698 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034896-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wrkp4u
title: Occurrence Download

description: A dataset containing 1132 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Takydromus smaragdinus"
 ]
}

 The dataset includes 1132 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034897-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uubb2c
title: Occurrence Download

description: A dataset containing 1726 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lobesia botrana"
 ]
}

 The dataset includes 1726 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034898-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6as97q
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepomis gulosus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034899-251025141854904/datasets/export for details.
DOI: 10.15468/dl.jkd7tb
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.7688 23.99913, -109.6188 23.99913, -109.6188 24.14913, -109.7688 24.14913, -109.7688 23.99913))"
 ]
}

 The dataset includes 127 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034900-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5t6ynb
title: Occurrence Download

description: A dataset containing 16956 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, Asia, Oceania)",
 "Geometry POLYGON((-24.48084 19.01927,6.54041 -46.23886,57.61199 -46.23886,118.94153 -16.44466,127.83177 -18.14706,133.8847 -48.4117,161.50122 -41.22385,165.47345 1.14665,144.47736 48.81346,-16.89864 49.65965,-24.48084 19.01927))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Centella asiatica"
 ]
}

 The dataset includes 16956 records from 219 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034901-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4qzzaj
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tradescantia spathacea Sw.",
 "Country is Belize"
 ]
}

 The dataset includes 96 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007330-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sqj82k
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tradescantia spathacea Sw.",
 "Country is Guatemala"
 ]
}

 The dataset includes 61 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007331-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.38ew4p
title: Occurrence Download

description: A dataset containing 1099 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tradescantia spathacea Sw.",
 "Country is Mexico"
 ]
}

 The dataset includes 1099 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007332-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48544/8cb8d553-0912-4eda-b87e-8cd9827819b5
title: OPTION-5 FT
DOI: 10.15468/dl.n5dcm7
title: Occurrence Download

description: A dataset containing 316 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "TaxonKey is Catagonus wagneri (Rusconi, 1930)"
 ]
}

 The dataset includes 316 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001674-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57703/ce-vgtvd
title: P84 Sample
DOI: 10.15468/dl.a3a3tc
title: Occurrence Download

description: A dataset containing 70749 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Carex flacca Schreb.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 70749 records from 278 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007372-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.