cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.vb48xx
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-107.8188 23.69913, -107.6688 23.69913, -107.6688 23.84913, -107.8188 23.84913, -107.8188 23.69913))"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034789-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qwgftg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hysterocarpus traskii",
 "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/0034790-251025141854904/datasets/export for details.
DOI: 10.15468/dl.s65pf5
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-123.02568 8.47918,-62.97432 8.47918,-62.97432 32.52082,-123.02568 32.52082,-123.02568 8.47918))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Annona diversifolia"
 ]
}

 The dataset includes 101 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034791-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bp7dn7
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-107.6688 23.69913, -107.5188 23.69913, -107.5188 23.84913, -107.6688 23.84913, -107.6688 23.69913))"
 ]
}

 The dataset includes 93 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034792-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cck7xg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ictalurus furcatus",
 "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/0034793-251025141854904/datasets/export for details.
DOI: 10.5281/zenodo.17588746
title: WGS of Alauda gulgula - A7908
DOI: 10.5281/zenodo.17588745
title: WGS of Alauda gulgula - A7908
DOI: 10.15468/dl.7e94xq
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-107.5188 23.69913, -107.3688 23.69913, -107.3688 23.84913, -107.5188 23.84913, -107.5188 23.69913))"
 ]
}

 The dataset includes 54 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034795-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q8dewn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ictalurus pricei",
 "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/0034796-251025141854904/datasets/export for details.
DOI: 10.15468/dl.zggx57
title: Occurrence Download

description: A dataset containing 370 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((85.43323 -14.55228,149.68956 -14.55228,149.68956 36.19222,85.43323 36.19222,85.43323 -14.55228))",
 "TaxonKey is Aralia dasyphylla"
 ]
}

 The dataset includes 370 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034797-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wm27jd
title: Occurrence Download

description: A dataset containing 2022 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Geometry POLYGON((79 32, 81 32, 81 33, 79 33, 79 32))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2022 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034798-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17614280
title: Underwater images collected by a Kite surf in Tamarin-La-Preneuse, Mauritius - 2018-10-20

description: This dataset was collected by a Kite surf in Tamarin-La-Preneuse, Mauritius - 2018-10-20. 

            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.

            
                
                                       
                
                
 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.17614341
title: Underwater images collected by a Kite surf in Tamarin-La-Preneuse, Mauritius - 2018-10-20

description: This dataset was collected by a Kite surf in Tamarin-La-Preneuse, Mauritius - 2018-10-20. 

            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.

            
                
                                       
                
                
 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.b437ck
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-107.3688 23.69913, -107.2188 23.69913, -107.2188 23.84913, -107.3688 23.84913, -107.3688 23.69913))"
 ]
}

 The dataset includes 80 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034799-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t3dc9y
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ictalurus punctatus",
 "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/0034800-251025141854904/datasets/export for details.
DOI: 10.5281/zenodo.17611434
title: Assessing stress restorative potential of plant species richness and plant landscape types of pocket parks: the mediating role of aesthetic

description: This study investigated the effects of plant speciesrichness and landscape type on stress recovery, focusing on the mediating role of perceived aesthetic quality. A pre-test and post-test were conducted in selected six pocket parks in the sites with different landscape characteristics through questionnaire.
DOI: 10.5281/zenodo.17611435
title: Assessing stress restorative potential of plant species richness and plant landscape types of pocket parks: the mediating role of aesthetic

description: This study investigated the effects of plant speciesrichness and landscape type on stress recovery, focusing on the mediating role of perceived aesthetic quality. A pre-test and post-test were conducted in selected six pocket parks in the sites with different landscape characteristics through questionnaire.
DOI: 10.34740/kaggle/dsv/13738816
title: ITB Official News Dataset (Berita Resmi ITB)
DOI: 10.15468/dl.byj5q6
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Geometry POLYGON((81 32, 83 32, 83 33, 81 33, 81 32))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034802-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8dfm34
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ictiobus bubalus",
 "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/0034803-251025141854904/datasets/export for details.
DOI: 10.15468/dl.g8sa2c
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-107.2188 23.69913, -107.0688 23.69913, -107.0688 23.84913, -107.2188 23.84913, -107.2188 23.69913))"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034801-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17614383
title: Statistical analysis of experiments
DOI: 10.5281/zenodo.17614384
title: Statistical analysis of experiments
DOI: 10.15468/dl.srfdjw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ictiobus cyprinellus",
 "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/0034805-251025141854904/datasets/export for details.
DOI: 10.15468/dl.z2j6nj
title: Occurrence Download

description: A dataset containing 167 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-107.0688 23.69913, -106.9188 23.69913, -106.9188 23.84913, -107.0688 23.84913, -107.0688 23.69913))"
 ]
}

 The dataset includes 167 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034804-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f9j9zj
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Geometry POLYGON((83 32, 85 32, 85 33, 83 33, 83 32))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034806-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z3h8mm
title: Occurrence Download

description: A dataset containing 549 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Annona muricata"
 ]
}

 The dataset includes 549 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034807-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13738830
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.6g5k9v
title: Occurrence Download

description: A dataset containing 96746 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.18238 11.12999,-74.11865 11.12999,-74.11865 11.17174,-74.18238 11.17174,-74.18238 11.12999))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 96746 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034753-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vk43yz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ictiobus niger",
 "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/0034808-251025141854904/datasets/export for details.
DOI: 10.15468/dl.wzzkn2
title: Occurrence Download

description: A dataset containing 2925 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-106.9188 23.69913, -106.7688 23.69913, -106.7688 23.84913, -106.9188 23.84913, -106.9188 23.69913))"
 ]
}

 The dataset includes 2925 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034809-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gxyh6n
title: Occurrence Download

description: A dataset containing 1008 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((122.32857 11.98128,124.5593 30.32277,119.23035 55.10856,95.5599 45.68996,94.56848 17.06237,122.32857 11.98128))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eleutherococcus nodiflorus"
 ]
}

 The dataset includes 1008 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034810-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17509688
title: Daily Surface Fine Particulate Matter and Ozone Concentrations Associated with Permit-based Prescribed Burning over Florida, Georgia, and South Carolina (2017–2019)

description: This dataset provides model-simulated daily surface concentrations of fine particulate matter (PM₂.₅) and ozone (O₃) for the southeastern United States, specifically Florida, Georgia, and South Carolina, during the years 2017–2019. The data were generated using the Community Multiscale Air Quality (CMAQ) modeling system (version 5.5) over the CONUS domain and are valid within the three states of interest.



Two sets of CMAQ model outputs are included:



Total: Daily PM₂.₅ and O₃ concentrations including all emission sources.

Background: Daily PM₂.₅ and O₃ concentrations with the permit-based prescribed fire emissions removed.


All data are provided in NetCDF format and were processed using Python scripts available in the accompanying open-source repository: US_Southeast_RxF.

Time period: 2017–2019Spatial domain: CONUS model domain (results valid for Florida, Georgia, and South Carolina)


 

Please cite:

Huang, J. (2025). Daily Surface Fine Particulate Matter and Ozone Concentrations Associated with Permit-based Prescribed Burning over Florida, Georgia, and South Carolina (2017–2019) [Dataset]. Zendo. https://doi.org/10.5281/zenodo.17509689
DOI: 10.5281/zenodo.17509689
title: Daily Surface Fine Particulate Matter and Ozone Concentrations Associated with Permit-based Prescribed Burning over Florida, Georgia, and South Carolina (2017–2019)

description: This dataset provides model-simulated daily surface concentrations of fine particulate matter (PM₂.₅) and ozone (O₃) for the southeastern United States, specifically Florida, Georgia, and South Carolina, during the years 2017–2019. The data were generated using the Community Multiscale Air Quality (CMAQ) modeling system (version 5.5) over the CONUS domain and are valid within the three states of interest.



Two sets of CMAQ model outputs are included:



Total: Daily PM₂.₅ and O₃ concentrations including all emission sources.

Background: Daily PM₂.₅ and O₃ concentrations with the permit-based prescribed fire emissions removed.


All data are provided in NetCDF format and were processed using Python scripts available in the accompanying open-source repository: US_Southeast_RxF.

Time period: 2017–2019Spatial domain: CONUS model domain (results valid for Florida, Georgia, and South Carolina)


 

Please cite:

Huang, J. (2025). Daily Surface Fine Particulate Matter and Ozone Concentrations Associated with Permit-based Prescribed Burning over Florida, Georgia, and South Carolina (2017–2019) [Dataset]. Zendo. https://doi.org/10.5281/zenodo.17509689
DOI: 10.15468/dl.css78e
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Iotichthys phlegethontis",
 "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/0034812-251025141854904/datasets/export for details.
DOI: 10.15468/dl.xn4yzk
title: Occurrence Download

description: A dataset containing 4966 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.9188 23.84913, -109.7688 23.84913, -109.7688 23.99913, -109.9188 23.99913, -109.9188 23.84913))"
 ]
}

 The dataset includes 4966 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034813-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ac5df3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Iriatherina werneri",
 "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/0034814-251025141854904/datasets/export for details.
DOI: 10.15468/dl.d7pncs
title: Occurrence Download

description: A dataset containing 390 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.7688 23.84913, -109.6188 23.84913, -109.6188 23.99913, -109.7688 23.99913, -109.7688 23.84913))"
 ]
}

 The dataset includes 390 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034815-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.