cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.11138081
title: Underwater images collected by an Autonomous Surface Vehicle in Aldabra-Arm01, Seychelles - 2022-10-24

description: This dataset was collected by an Autonomous Surface Vehicle in Aldabra-Arm01, Seychelles - 2022-10-24. 

            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.

            

            
 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 4Sea project co-financed by Monaco Explorations (n°2022/11) as part of the Indian Ocean Mission.
DOI: 10.5281/zenodo.11151110
title: Underwater images collected by an Autonomous Surface Vehicle in Aldabra-Arm01, Seychelles - 2022-10-24

description: This dataset was collected by an Autonomous Surface Vehicle in Aldabra-Arm01, Seychelles - 2022-10-24. 

            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.

            

            
 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 4Sea project co-financed by Monaco Explorations (n°2022/11) as part of the Indian Ocean Mission.
DOI: 10.5281/zenodo.11138813
title: Underwater images collected by an Autonomous Surface Vehicle in Aldabra-Arm01, Seychelles - 2022-10-24

description: This dataset was collected by an Autonomous Surface Vehicle in Aldabra-Arm01, Seychelles - 2022-10-24. 

            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.

            

            
 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 4Sea project co-financed by Monaco Explorations (n°2022/11) as part of the Indian Ocean Mission.
DOI: 10.15468/dl.cve8yk
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Euphorbia margalidiana Kuhbier & Lewej.)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2019"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000110-250226093636041/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4228/zalf-3ns8-cct9
title: Soil profile 'BDF_14'

description: null
DOI: 10.4228/zalf-8y8b-t4aa
title: Soil profile 'BDF_13'

description: null
DOI: 10.4228/zalf-h9tg-mfcz
title: Soil profile 'BDF_12'

description: null
DOI: 10.5281/zenodo.14929751
title: Database Biennal Activities 2023_Laboratorio Nomade di Comunità_v.1

description: Laboratorio Nomade di Comunità is a research project promoted by the Research Unit in Community Design at the University of the Republic of San Marino, the Advanced Design Unit at Alma Mater Studiorum – University of Bologna, and the University of Applied Sciences Stuttgart. Among its key initiatives was the curatorship of the San Marino Pavilion at the 2023 Architecture Biennale, titled Ospite, ospitante.

As part of the project, a mapping and classification phase was conducted to analyze the activities carried out within the pavilion. This process identified a dataset of 36 activities, systematically coded using a multi-digit classification system comprising:



A sequential number indicating the chronological order of the activities;

One or more uppercase letters—such as C (Community), R (Religion), F (Food), and M (Multispecies)—to represent the overarching themes established in the curatorial framework of the Pavilion;

One or more lowercase letters—such as r (research), e (event), m (meeting), s (seminar), w (workshop), and x (exhibition)—to specify the type of activity.


Additionally, the database includes references to key stakeholders associated with each activity, including designers, curators, and institutional partners.

(Database Version1)
DOI: 10.5281/zenodo.14929752
title: Database Biennal Activities 2023_Laboratorio Nomade di Comunità_v.1

description: Laboratorio Nomade di Comunità is a research project promoted by the Research Unit in Community Design at the University of the Republic of San Marino, the Advanced Design Unit at Alma Mater Studiorum – University of Bologna, and the University of Applied Sciences Stuttgart. Among its key initiatives was the curatorship of the San Marino Pavilion at the 2023 Architecture Biennale, titled Ospite, ospitante.

As part of the project, a mapping and classification phase was conducted to analyze the activities carried out within the pavilion. This process identified a dataset of 36 activities, systematically coded using a multi-digit classification system comprising:



A sequential number indicating the chronological order of the activities;

One or more uppercase letters—such as C (Community), R (Religion), F (Food), and M (Multispecies)—to represent the overarching themes established in the curatorial framework of the Pavilion;

One or more lowercase letters—such as r (research), e (event), m (meeting), s (seminar), w (workshop), and x (exhibition)—to specify the type of activity.


Additionally, the database includes references to key stakeholders associated with each activity, including designers, curators, and institutional partners.

(Database Version1)
DOI: 10.4228/zalf-gwnn-kmqs
title: Soil profile 'BDF_11'

description: null
DOI: 10.4228/zalf-etyx-d1wt
title: Soil profile 'BDF_10'

description: null
DOI: 10.4228/zalf-wedt-1hr
title: Soil profile 'BDF_09'

description: null
DOI: 10.4228/zalf-p593-hbf
title: Soil profile 'BDF_08'

description: null
DOI: 10.4228/zalf-tq21-mn1p
title: Soil profile 'BDF_07'

description: null
DOI: 10.15468/dl.wasemh
title: Occurrence Download

description: A dataset containing 587 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lithocarpus rufovillosus (Markgr.) Rehder"
 ]
}

 The dataset includes 587 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000113-250226093636041/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4228/zalf-jx2p-649w
title: Soil profile 'BDF_06'

description: null
DOI: 10.4228/zalf-hjc3-4wnm
title: Soil profile 'BDF_04'

description: null
DOI: 10.25828/5q6m-zz34
title: PE Corporate Survey 1979-1989
DOI: 10.4228/zalf-q5hd-8h79
title: Soil profile 'BDF_03'

description: null
DOI: 10.5281/zenodo.14922059
title: Raw data for the paper "Myocardium and endocardium of the early mamma-lian heart tube arise from independent multipotent lineages specified at the primitive streak." Sendra et al. 2025 (Dev. Cell)

description: This repository contains the images for the live-imaged embryos, tamoxifen clonal analysis and TAT-Cre clonal analysis. Large light-sheet datasets (KM1 and KM2) could not be uploaded, please contact me miquel.sendra@cnic.es to recieve a transfer through FTP link.
DOI: 10.5281/zenodo.14922060
title: Raw data for the paper "Myocardium and endocardium of the early mamma-lian heart tube arise from independent multipotent lineages specified at the primitive streak." Sendra et al. 2025 (Dev. Cell)

description: This repository contains the images for the live-imaged embryos, tamoxifen clonal analysis and TAT-Cre clonal analysis. Large light-sheet datasets (KM1 and KM2) could not be uploaded, please contact me miquel.sendra@cnic.es to recieve a transfer through FTP link.
DOI: 10.5281/zenodo.14929919
title: Depth-dependent drivers of soil organic carbon thermal stability across Tibetan alpine Grasslands
DOI: 10.5281/zenodo.14929920
title: Depth-dependent drivers of soil organic carbon thermal stability across Tibetan alpine Grasslands
DOI: 10.4228/zalf-5qd4-8x20
title: Soil profile 'BDF_02'

description: null
DOI: 10.4228/zalf-kcrp-2yfe
title: Soil profile 'BDF_01'

description: null
DOI: 10.5281/zenodo.13991282
title: Understanding the Work of the Pharmacovigilance Risk Assessment Committee (PRAC): A Quantitative Review of the Post-Authorisation Safety Evaluation of Antidiabetic Drugs from 2012 to 2022

description: This is the clean data used in the analysis of study: Understanding the Work of the Pharmacovigilance Risk Assessment Committee (PRAC): A Quantitative Review of the Post-Authorisation Safety Evaluation of Antidiabetic Drugs from 2012 to 2022
DOI: 10.5281/zenodo.13991281
title: Understanding the Work of the Pharmacovigilance Risk Assessment Committee (PRAC): A Quantitative Review of the Post-Authorisation Safety Evaluation of Antidiabetic Drugs from 2012 to 2022

description: This is the clean data used in the analysis of study: Understanding the Work of the Pharmacovigilance Risk Assessment Committee (PRAC): A Quantitative Review of the Post-Authorisation Safety Evaluation of Antidiabetic Drugs from 2012 to 2022
DOI: 10.4228/zalf-4nxs-p219
title: Soil profile 'BDF_15'

description: null
DOI: 10.4228/zalf-h9gz-qc3c
title: Soil profile 'WIER_14'

description: null
DOI: 10.5281/zenodo.14929892
title: Model files - SWATPlus Mar Menor

description: These files contain the complete SWAT+ (Soil and Water Assessment Tool Plus) model setup for the Mar Menor watershed, including input data, configuration files, and parameters.
DOI: 10.5281/zenodo.14929893
title: Model files - SWATPlus Mar Menor

description: These files contain the complete SWAT+ (Soil and Water Assessment Tool Plus) model setup for the Mar Menor watershed, including input data, configuration files, and parameters.
DOI: 10.4228/zalf-x44e-qzhq
title: Soil profile 'FLEI_03'

description: null
DOI: 10.4228/zalf-kbbj-yx74
title: Soil profile 'WIER_13'

description: null
DOI: 10.4228/zalf-31pp-nnxx
title: Soil profile 'BDF_12'

description: null
DOI: 10.15468/dl.7fb2pt
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Euphorbia mellifera Aiton)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2019"
 ]
}

 The dataset includes 54 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000114-250226093636041/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n4pu3v
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ruta microcarpa (Svent.) Agullo et al.)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000112-250226093636041/datasets/export for details.
DOI: 10.15468/dl.w63fkd
title: Occurrence Download

description: A dataset containing 16491 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 },
 "TaxonKey is Ovis canadensis Shaw, 1804"
 ]
}

 The dataset includes 16491 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000115-250226093636041/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.27642331
title: Circulation of West Nile virus and Usutu virus in birds in Germany, 2021 and 2022

description: Usutu virus (USUV) and West Nile virus (WNV) are zoonotic arthropod-borne orthoflaviviruses. The enzootic transmission cycles of both include <i>Culex</i> mosquitoes as vectors and birds as amplifying hosts. For more than 10 years, these viruses have been monitored in birds in Germany by a multidisciplinary network. While USUV is present nationwide, WNV used to be restricted to the central-east. In 2021 and 2022, over 2300 live bird blood samples and organs from over 3000 deceased birds were subjected to molecular and serological analysis regarding the presence of WNV and USUV. The samples were collected at sites all over Germany. Circulation of both viruses increased in 2022. For USUV, the nationwide presence of lineages Africa 3 and Europe 3 reported in previous years was confirmed. Lineage Europe 2, formerly restricted to the German east, was able to expand westward. Nonetheless, USUV neutralizing antibody (nAb) detection rates remained low (&lt; 9%). Years 2021 and 2022 were characterized by stable enzootic circulation of WNV lineage 2, dominated by one previously identified subcluster (95% of generated sequences). In 2022, &gt;20% of birds in the endemic region in eastern Germany carried nAb against WNV. Serological data also indicate expanding WNV circulation west and south of the known hotspots in Germany. USUV circulates enzootically nationwide. Emergence of WNV at several new locations in Germany with a potential increase in human infections may be imminent. In this context, wild bird monitoring serves as a capable early warning system in a One Health setting.
DOI: 10.6084/m9.figshare.27642331.v1
title: Circulation of West Nile virus and Usutu virus in birds in Germany, 2021 and 2022

description: Usutu virus (USUV) and West Nile virus (WNV) are zoonotic arthropod-borne orthoflaviviruses. The enzootic transmission cycles of both include <i>Culex</i> mosquitoes as vectors and birds as amplifying hosts. For more than 10 years, these viruses have been monitored in birds in Germany by a multidisciplinary network. While USUV is present nationwide, WNV used to be restricted to the central-east. In 2021 and 2022, over 2300 live bird blood samples and organs from over 3000 deceased birds were subjected to molecular and serological analysis regarding the presence of WNV and USUV. The samples were collected at sites all over Germany. Circulation of both viruses increased in 2022. For USUV, the nationwide presence of lineages Africa 3 and Europe 3 reported in previous years was confirmed. Lineage Europe 2, formerly restricted to the German east, was able to expand westward. Nonetheless, USUV neutralizing antibody (nAb) detection rates remained low (&lt; 9%). Years 2021 and 2022 were characterized by stable enzootic circulation of WNV lineage 2, dominated by one previously identified subcluster (95% of generated sequences). In 2022, &gt;20% of birds in the endemic region in eastern Germany carried nAb against WNV. Serological data also indicate expanding WNV circulation west and south of the known hotspots in Germany. USUV circulates enzootically nationwide. Emergence of WNV at several new locations in Germany with a potential increase in human infections may be imminent. In this context, wild bird monitoring serves as a capable early warning system in a One Health setting.
DOI: 10.17632/v5drwyz7k9.1
title: Trichoscopic Features and Measurable Hair Shaft Parameters in Healthy Females of African Descent: A Cross-Sectional Study

description: This data contains supplementary tables of the article Trichoscopic Features and Measurable Hair Shaft Parameters in Healthy Females of African Descent: A Cross-Sectional Study
DOI: 10.15468/dl.4x7q7c
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Euphorbia nevadensis subsp. nevadensis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2019"
 ]
}

 The dataset includes 29 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000117-250226093636041/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2dw2fk
title: Occurrence Download

description: A dataset containing 287 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Salix salviifolia Brot.)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 287 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000118-250226093636041/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.