cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17556906
title: Underwater images collected by  Scuba diving in Rodrigues-Saint-Francois, Mauritius - 2019-05-24

description: This dataset was collected by  Scuba diving in Rodrigues-Saint-Francois, Mauritius - 2019-05-24. 

            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.17556953
title: Underwater images collected by  Scuba diving in Rodrigues-Saint-Francois, Mauritius - 2019-05-24

description: This dataset was collected by  Scuba diving in Rodrigues-Saint-Francois, Mauritius - 2019-05-24. 

            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: 10.3535/3rp-jaw-l94
title: Begonia socotrana Hook. f.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.5281/zenodo.16103644
title: Dataset for "Mobility and Sintering of Silica-Supported Platinum Clusters via Reactive Neural Network Potentials"

description: NNP training datasets, electronic structure data, molecular dynamics trajectories, charge analysis data,diffusion analysis data, nudged elastic band trajectories, relevant scripts for running simulations, and rawdata for manuscript/ESI tables
DOI: 10.5281/zenodo.16103643
title: Dataset for "Mobility and Sintering of Silica-Supported Platinum Clusters via Reactive Neural Network Potentials"

description: NNP training datasets, electronic structure data, molecular dynamics trajectories, charge analysis data,diffusion analysis data, nudged elastic band trajectories, relevant scripts for running simulations, and rawdata for manuscript/ESI tables
DOI: 10.15468/dl.6ggwf7
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alyssum lassiticum"
 ]
}

 The dataset includes 7 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007803-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s4pacn
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Dicamptodon aterrimus)"
 ]
}

 The dataset includes 66 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007804-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8wd54m
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Barbarea vulgarus arcuata, Barbarea vulgarus brachycarpa, Barbarea vulgarus longisiliquosa, Barbarea vulgarus sylvestris, Campe barbarea, Campe barbarea, Campe barbarea hirsuta, Campe rivularis, Campe stricta taurica, Campe vulgaris)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007806-250717081556266/datasets/export for details.
DOI: 10.15468/dl.gj7ggy
title: Occurrence Download

description: A dataset containing 395 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Trochammina inflata",
 "Year 1990-2025"
 ]
}

 The dataset includes 395 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007807-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7k8rdr
title: Occurrence Download

description: A dataset containing 368773 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Pinicola enucleator)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 368773 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007778-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3z2sa6
title: Occurrence Download

description: A dataset containing 68773 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Pseudacris regilla)"
 ]
}

 The dataset includes 68773 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007800-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ft9y3g
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Semimytilus algosus",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007810-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zbz5ye
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lobularia maritima",
 "Country is Romania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 56 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007811-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wsq9yf
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aster novi-belgii",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 43 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007814-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vbsvpj
title: Occurrence Download

description: A dataset containing 38902 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ligustrum sinense, Ligustrum nokoensis, Ligustrum sinense)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 38902 records from 157 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007809-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vstp9e
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bidens frondosa",
 "Country is Bosnia and Herzegovina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007812-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2hae86
title: Occurrence Download

description: A dataset containing 277 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "OccurrenceStatus is Present",
 "TaxonKey is Ammonia beccarii",
 "Year 1990-2025"
 ]
}

 The dataset includes 277 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007813-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/lfh-yz1-lp6
title: Begonia reniformis Dryand.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.15468/dl.qn2u8n
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Noccaea angustifolia"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007815-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h4neyg
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bidens frondosa",
 "Country is Bulgaria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007816-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pnqr5b
title: Occurrence Download

description: A dataset containing 435 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lobularia maritima",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 435 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007817-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cpwkpk
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cheiranthus ibericus, Cheiranthus laevigatus, Cheiranthus laevigatus, Crucifera arcuata, Crucifera barbaraea, Crucifera barbarea, Eruca barbarea, Erysimum arcuatum, Erysimum arcuatum, Erysimum barbarea)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007821-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wd32wy
title: Occurrence Download

description: A dataset containing 486 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Dicamptodon copei)"
 ]
}

 The dataset includes 486 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007820-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k2y5u6
title: Occurrence Download

description: A dataset containing 30266 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Necora puber"
 ]
}

 The dataset includes 30266 records from 192 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007819-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28648673
title: <b>236 metagenome-assembled microbial genomes </b><b>in </b><b>30 </b><b>rivers along a </b><b>latitudinal gradient</b>

description: Rivers are dynamic ecosystems that play a crucial role in supporting microbial diversity and sustaining a wide range of ecological functions.Here, we used metagenomic sequencing datasets of channel sediments, riparian bulk soils, and riparian rhizosphere soils to construct metagenome-assembled genomes (MAGs) from 30 river wetlands along a latitudinal gradient in China. We identified 236 MAGs with completeness ≥ 50% and contamination ≤ 10%, including 225 bacteria and 11 archaea. Among these, 24.2% showed a completeness of 80% or higher. The dominant taxa were assigned to Pseudomonadota (78 MAGs), Actinomycetota (47 MAGs), and Bacteroidota (29 MAGs), which were particularly prevalent in riparian soils. These draft genomes provide valuable insights into microbial diversity and biogeochemical potential in river wetlands, enhancing our understanding ofhow microorganisms have evolved to adapt to the complex environments of rivers and latitudinal variation.
DOI: 10.6084/m9.figshare.28648673.v3
title: <b>236 metagenome-assembled microbial genomes </b><b>in </b><b>30 </b><b>rivers along a </b><b>latitudinal gradient</b>

description: Rivers are dynamic ecosystems that play a crucial role in supporting microbial diversity and sustaining a wide range of ecological functions.Here, we used metagenomic sequencing datasets of channel sediments, riparian bulk soils, and riparian rhizosphere soils to construct metagenome-assembled genomes (MAGs) from 30 river wetlands along a latitudinal gradient in China. We identified 236 MAGs with completeness ≥ 50% and contamination ≤ 10%, including 225 bacteria and 11 archaea. Among these, 24.2% showed a completeness of 80% or higher. The dominant taxa were assigned to Pseudomonadota (78 MAGs), Actinomycetota (47 MAGs), and Bacteroidota (29 MAGs), which were particularly prevalent in riparian soils. These draft genomes provide valuable insights into microbial diversity and biogeochemical potential in river wetlands, enhancing our understanding ofhow microorganisms have evolved to adapt to the complex environments of rivers and latitudinal variation.
DOI: 10.6084/m9.figshare.28648673.v2
title: <b>236 metagenome-assembled microbial genomes </b><b>in </b><b>30 </b><b>rivers along a </b><b>latitudinal gradient</b>

description: Rivers are dynamic ecosystems that play a crucial role in supporting microbial diversity and sustaining a wide range of ecological functions.Here, we used metagenomic sequencing datasets of channel sediments, riparian bulk soils, and riparian rhizosphere soilsto construct metagenome-assembled genomes (MAGs) from 30 river wetlands along a latitudinal gradientin China. We identified 236 MAGs with completeness ≥50% and contamination ≤10%, including 225 bacteria and 11 archaea. Of these MAGs, 24.2% exhibit a completeness equal to or greater than 80%. The dominant taxa were assigned to Pseudomonadota (78 MAGs), Actinomycetota (47 MAGs), and Bacteroidota (29 MAGs), which were prevalent in ripariansoils. These draft genomes provide valuable insights intothe microbial diversity and their biogeochemical potentials in river wetlands and enhance our understanding ofhow microorganisms have evolved to adapt to the complex environments of rivers and latitudinalvariation.
DOI: 10.5281/zenodo.15742125
title: Radif Corpus: A Symbolic Dataset for Non-metric Iranian Classical Music

description: In this study, we introduce a digital corpus representing the complete non-metrical Radif repertoire, covering all 13 existing components of this repertoire. We provide MIDI files (about 281 minutes in total) and data spreadsheets describing notes, note durations, intervals, and hierarchical structures for 228 pieces of music. We faithfully represent the tonality including quarter-tones, and the non-metric aspect. Furthermore, we provide supporting basic statistics, and measures of complexity and similarity over the corpus.
DOI: 10.15468/dl.tv9x22
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crucihimalaya ovczinnikovii"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007822-250717081556266/datasets/export for details.
DOI: 10.3535/28z-745-sm2
title: Indeterminatae-dicot

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.15468/dl.9xff32
title: Occurrence Download

description: A dataset containing 1514 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is A geographic distribution database of Mononychellus mites (Acari: Tetranychidae) on cassava (Manihot esculenta)"
 ]
}

 The dataset includes 1514 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007830-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jqfeeq
title: Occurrence Download

description: A dataset containing 901 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Theba pisana",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 901 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007827-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k9ek5a
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is LSUMZ Mammal Tissues",
 "TaxonKey is Ochotona collaris"
 ]
}

 The dataset includes 40 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007828-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16104464
title: Probing Innate Autonomy of SWE-Agent

description: Data are stored under the folders /raw and /processed.

Processing and analysis scripts are under: /script