cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.42g7bp
title: Occurrence Download

description: A dataset containing 588 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Haplothrips aculeatus"
 ]
}

 The dataset includes 588 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009460-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mzufs5
title: Occurrence Download

description: A dataset containing 1035 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Elephantopus tomentosus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1035 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009461-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4v28qr
title: Occurrence Download

description: A dataset containing 173 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Revision of the genus Dilophus Meigen, 1803 (Diptera, Bibionidae) from the Afrotropical Ecozone"
 ]
}

 The dataset includes 173 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009462-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5cjd2r
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Elytropappus hispidus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 51 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009464-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ntr7u9
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Prunus davidiana",
 "Year 1960-2010"
 ]
}

 The dataset includes 96 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009465-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17628380
title: Dataset Questionnaire The Influence of Online Communities in Social Media on Customer Advocate Through Customer Engagement and Brand Love in The Beauty Industry Based on Social Capital Theory.

description: The following dataset is a dataset from a study that investigated The Influence of Online Communities in Social Media on Customer Advocate Through Customer Engagement and Brand Love in The Beauty Industry Based on Social Capital Theory.
DOI: 10.5281/zenodo.17628381
title: Dataset Questionnaire The Influence of Online Communities in Social Media on Customer Advocate Through Customer Engagement and Brand Love in The Beauty Industry Based on Social Capital Theory.

description: The following dataset is a dataset from a study that investigated The Influence of Online Communities in Social Media on Customer Advocate Through Customer Engagement and Brand Love in The Beauty Industry Based on Social Capital Theory.
DOI: 10.15468/dl.qeeggn
title: Occurrence Download

description: A dataset containing 2339 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Emilia fosbergii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 2339 records from 233 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009466-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pquk7n
title: Occurrence Download

description: A dataset containing 365115 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vaccinium uliginosum"
 ]
}

 The dataset includes 365115 records from 855 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009440-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15805378
title: Talikser dataset: Drone orthomosaics for kelp mapping in Sanday Island (Orkney, UK)

description: As part of the Talisker project (led by Plymouth Marine Laboratory), drone field campaigns were carried out in Orkney Islands in July 2023. Drone images were collected using a DJI Phantom4 Pro v2.0 within VLOS in a pre-planned grid mission using the ”DJI GS Pro” mission planner software. Orthomosaics were created using methasape to study the feasibility of mapping kelp in two areas of Sanday island:

-Kettletof =  (59.229271, -2.604081)

-Newark = (59.268429, -2.485455)
DOI: 10.5281/zenodo.15805379
title: Talikser dataset: Drone orthomosaics for kelp mapping in Sanday Island (Orkney, UK)

description: As part of the Talisker project (led by Plymouth Marine Laboratory), drone field campaigns were carried out in Orkney Islands in July 2023. Drone images were collected using a DJI Phantom4 Pro v2.0 within VLOS in a pre-planned grid mission using the ”DJI GS Pro” mission planner software. Orthomosaics were created using methasape to study the feasibility of mapping kelp in two areas of Sanday island:

-Kettletof =  (59.229271, -2.604081)

-Newark = (59.268429, -2.485455)
DOI: 10.15468/dl.mhmhpc
title: Occurrence Download

description: A dataset containing 132 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-107.9688 23.84913, -107.8188 23.84913, -107.8188 23.99913, -107.9688 23.99913, -107.9688 23.84913))"
 ]
}

 The dataset includes 132 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034847-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17614389
title: Underwater images collected by an No key for platform in Ilot-Sancho, Mauritius - 2018-12-09

description: This dataset was collected by an No key for platform in Ilot-Sancho, Mauritius - 2018-12-09. 

            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.17614497
title: Underwater images collected by an No key for platform in Ilot-Sancho, Mauritius - 2018-12-09

description: This dataset was collected by an No key for platform in Ilot-Sancho, Mauritius - 2018-12-09. 

            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.r9ps8w
title: Occurrence Download

description: A dataset containing 5581 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Asia, Africa)",
 {
 "or" : [
 "Geometry POLYGON((121.72244 46.11186,193.80778 46.11186,193.80778 81.93465,121.72244 81.93465,121.72244 46.11186))",
 "Geometry POLYGON((109.33146 33.61046,130.30764 33.61046,130.30764 49.80082,125.01733 49.80082,109.33146 49.80082,109.33146 33.61046))",
 "Geometry POLYGON((129.6806 41.85513,138.76889 41.85513,138.76889 46.72541,129.6806 46.72541,129.6806 41.85513))",
 "Geometry POLYGON((-7.00196 49.36715,125.01733 49.36715,125.01733 84.15486,-7.00196 84.15486,-7.00196 49.36715))",
 "Geometry POLYGON((-25.2655 -26.64396,93.7084 -26.64396,93.7084 54.23744,-25.2655 54.23744,-25.2655 -26.64396))",
 "Geometry POLYGON((91.65901 16.19451,109.0511 16.19451,109.0511 51.80231,91.65901 51.80231,91.65901 16.19451))",
 "Geometry POLYGON((106.96918 16.85195,132.82871 16.85195,132.82871 34.93173,106.96918 34.93173,106.96918 16.85195))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Anthriscus sylvestris"
 ]
}

 The dataset includes 5581 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034848-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qywdk6
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-127.19666 14.41512,-91.80334 14.41512,-91.80334 28.58488,-127.19666 28.58488,-127.19666 14.41512))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bumelia socorrensis"
 ]
}

 The dataset includes 26 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034849-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7pm5d9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Labeo rohita",
 "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/0034850-251025141854904/datasets/export for details.
DOI: 10.5281/zenodo.17614431
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.

            

            
 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.aywu67
title: Occurrence Download

description: A dataset containing 671128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Year is greater than or equal to 1980",
 "TaxonKey is Acer platanoides"
 ]
}

 The dataset includes 671128 records from 1627 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034823-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/wgnjio
title: Data for Investigating Sleep Disorders in Children with Leber’s Congenital Amaurosis

description: All patient data collected in the study, after personal identifying details have been redacted.
DOI: 10.15468/dl.u2xm2n
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/0007326-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mfr4ku
title: Occurrence Download

description: A dataset containing 20221 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 Calamagrostis arundinacea (L.) Roth",
 "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 20221 records from 158 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007325-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48472/datapb/2cexb9
title: Diversidade de Borboletas da Paraíba

description: O dataset de Lepidoptera (Papilionoidea) da Paraíba foi construído a partir da Coleção do Laboratório de Ecologia e Interações de Insetos da Caatinga (CLEIIC/UFCG), Universidade Federal de Campina Grande e da Coleção Entomológica do Departamento de Sistemática e Ecologia (CEDSE/UFPB). A CLEIIC iniciou em 2013 e conta com aproximadamente 10 mil exemplares de borboletas coletadas na região nordeste do Brasil, na Mata Atlântica e Caatinga. A CEDSE existe desde 1976 e conta com aproximadamente 3 mil exemplares de borboletas principalmente do nordeste do Brasil, também com exemplares de outros países. Parte da coleção de borboletas da CEDSE é proveniente do colecionador Jorge Kesselring que iniciou suas coletas em 1950. Estes dados reúnem informações sobre a ocorrência e distribuição geográfica das espécies registradas na Paraíba. (2025).
DOI: 10.5061/dryad.m0cfxpp62
title: CRISPR/Cas9 knock-out sgRNA sequencing in human CaCo2 cells

description: The data was obtained in course of performing a CRISPR/Cas9 knock-out in
 human polarized epithelial cells (CaCo2). The screen aimed to identify
 genes relevant for proper epithelial polarization and correct apical
 transport of the apical transmembrane protein dipeptidyl-peptidase 4. It
 includes next-generation-sequencing data (raw sgRNA-read-counts) of two
 experimental (sorted) and corresponding control (ctrl) cell populations.
 It further contains sequence information on the sgRNAs as represented in
 the human GeCKOv2-CRISPR library and the corresponding targeted genes.