cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.olf1oy
title: Occurrence Download

description: A dataset containing 254 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pauxi pauxi (Linnaeus, 1766)"
 ]
}

 The dataset includes 254 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023385-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5bd7rt
title: Occurrence Download

description: A dataset containing 424 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Ecuador",
 "TaxonKey is Chelonia mydas (Linnaeus, 1758)"
 ]
}

 The dataset includes 424 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0124220-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e9wxat
title: Occurrence Download

description: A dataset containing 5 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 Crocidura macmillani Dollman, 1915"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074673-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5nxgdy
title: Occurrence Download

description: A dataset containing 573 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhinoclemmys areolata (Duméril, Bibron & Duméril, 1851)"
 ]
}

 The dataset includes 573 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023391-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.um2zdp
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stephania kwangsiensis H.S.Lo"
 ]
}

 The dataset includes 20 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091346-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nwh20f
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agkistrodon russeolus Gloyd, 1972"
 ]
}

 The dataset includes 22 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023388-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6vu4ky
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eustroma aurigena (Butler, 1880)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066727-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rb8yqg
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Luidia superba A.H.Clark, 1917"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0100605-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.0mdu3a
title: Occurrence Download

description: A dataset containing 3026 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kinosternon scorpioides (Linnaeus, 1766)"
 ]
}

 The dataset includes 3026 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023390-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3js65s
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aristida humbertii Bourreil"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012468-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k3pgud
title: Occurrence Download

description: A dataset containing 5789 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-123.61157 42.29031,-121.44946 42.29031,-121.44946 45.76446,-123.61157 45.76446,-123.61157 42.29031))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "Month is February",
 "Month is March",
 "Month is April",
 "Month is May",
 "Month is June",
 "Month is July",
 "Month is August",
 "Month is September"
 ]
 },
 "OccurrenceStatus is Present",
 {
 "or" : [
 "TaxonKey is Apidae",
 "TaxonKey is Colletidae",
 "TaxonKey is Megachilidae",
 "TaxonKey is Halictidae",
 "TaxonKey is Andrenidae"
 ]
 },
 "Year 1999-2020"
 ]
}

 The dataset includes 5789 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0124221-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bqdwqs
title: Occurrence Download

description: A dataset containing 1449 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anemonastrum baicalense (Turcz.) Mosyakin"
 ]
}

 The dataset includes 1449 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007430-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pzuiil
title: Occurrence Download

description: A dataset containing 928 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trachemys venusta (Gray, 1855)"
 ]
}

 The dataset includes 928 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023394-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rbaqg2
title: Occurrence Download

description: A dataset containing 900 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agave havardiana Trel."
 ]
}

 The dataset includes 900 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042098-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.29w8tr
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Uroleucon pseudambrosiae (Olive, 1963))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042097-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uv4zfx
title: Occurrence Download

description: A dataset containing 492 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Picea asperata Mast."
 ]
}

 The dataset includes 492 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0118348-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xfkf9v
title: Occurrence Download

description: A dataset containing 14709 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "TaxonKey is Bombus occidentalis Greene, 1858",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 14709 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005739-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.387rcq
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Haplorchis pumilio (Looss, 1896) Looss, 1899)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 50 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042096-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7hwunt
title: Occurrence Download

description: A dataset containing 3433 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ardisia sieboldii Miq."
 ]
}

 The dataset includes 3433 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012465-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/ds/7081435
title: 🇵🇭 Philippine Volcanoes Locations 🌋
DOI: 10.5281/zenodo.11175991
title: Underwater images collected by an Autonomous Surface Vehicle in Hermitage, Réunion - 2023-05-30

description: This dataset was collected by an Autonomous Surface Vehicle in Hermitage, Réunion - 2023-05-30. 

            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.11176195
title: Underwater images collected by an Autonomous Surface Vehicle in Hermitage, Réunion - 2023-05-30

description: This dataset was collected by an Autonomous Surface Vehicle in Hermitage, Réunion - 2023-05-30. 

            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.11176491
title: Underwater images collected by an Autonomous Surface Vehicle in Hermitage, Réunion - 2023-05-31

description: This dataset was collected by an Autonomous Surface Vehicle in Hermitage, Réunion - 2023-05-31. 

            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.mu24hn
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pristimantis degener (Lynch & Duellman, 1997)"
 ]
}

 The dataset includes 35 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005338-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7545862
title: Asymmetric benefits of mixed-species foraging promotes the success of marine invasive fish herbivores

description: Data1_Proceed.csv contains the data to analyze the abundance of fish herbivore individuals as a function of the species and the type of shoal. Data2_Proceed.xlsx contains the data to analyze the foraging activity of the herbivorous fish found in our stuty. We analyzed the relationship between bite rates per fish min-1 and the species, shoal type and shoal size. Minguito-Frutos_Bunuel_etal_2023_ProceedingsB.R contains the R reproducible code to run all the analyses carried out in this study. Species_coocurrence_based_associations.R contains the R reproducible code to run the analyses to explore the strength of mixed-species associations between herbivorous fish.
DOI: 10.5281/zenodo.11210391
title: Tropical range-extending herbivorous fishes shoal with native temperate species to gain foraging benefits

description: Data1.csv contains the data to analyze the abundance of fish herbivore individuals as a function of the species and the type of shoal.  

Data2.xlsx contains the data to analyze the foraging activity of the herbivorous fish found in our study. We analyzed the relationship between bite rates per fish min-1 and the species, shoal type and shoal size.  

Data3.xlslx contains the data to analyze the shoaling configurations based on species origin. 

Minguito-Frutos_etal.R contains the R reproducible code to run all the analyses carried out in this study. 

Species_coocurrence_based_associations.R contains the R reproducible code to run the analyses to explore the strength of mixed-species associations between herbivorous fish.
DOI: 10.5281/zenodo.7542873
title: Asymmetric benefits of mixed-species foraging promotes the success of marine invasive fish herbivores

description: Data1_Proceed.csv contains the data to analyze the abundance of fish herbivore individuals as a function of the species and the type of shoal. Data2_Proceed.xlsx contains the data to analyze the foraging activity of the herbivorous fish found in our stuty. We analyzed the relationship between bite rates per fish min-1 and the species, shoal type and shoal size. Minguito-Frutos_Bunuel_etal_2023_ProceedingsB.R contains the R reproducible code to run all the analyses carried out in this study.
DOI: 10.5281/zenodo.7645290
title: Asymmetric benefits of mixed-species foraging promotes the success of marine invasive fish herbivores

description: Data1.csv contains the data to analyze the abundance of fish herbivore individuals as a function of the species and the type of shoal. Data2.xlsx contains the data to analyze the foraging activity of the herbivorous fish found in our stuty. We analyzed the relationship between bite rates per fish min-1 and the species, shoal type and shoal size. Minguito-Frutos_Bunuel_etal_2023.R contains the R reproducible code to run all the analyses carried out in this study. Species_coocurrence_based_associations.R contains the R reproducible code to run the analyses to explore the strength of mixed-species associations between herbivorous fish.
DOI: 10.3535/grf-gtg-j2m
title: Circaea alpina L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/jjr-ce4-0vt
title: Circaea alpina L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0020384.10fu
title: SH0020384.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.