cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17614793
title: Underwater images collected by a Kite surf in Le-Morne-Ambulante-Nord, Mauritius - 2019-01-26

description: This dataset was collected by a Kite surf in Le-Morne-Ambulante-Nord, Mauritius - 2019-01-26. 

            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: 

                GPX file from Garmin watch.
            
                    
                

                
            

            
 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.4jbddv
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lutjanus jocu",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 108 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034964-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17615063
title: Underwater images collected by a Kite surf in Le-Morne-Ambulante-Nord, Mauritius - 2019-01-26

description: This dataset was collected by a Kite surf in Le-Morne-Ambulante-Nord, Mauritius - 2019-01-26. 

            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: 

                GPX file from Garmin watch.
            
                    
                

                
            

            
 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.x2qhq4
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cnaphalocrocis patnalis"
 ]
}

 The dataset includes 61 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034965-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tbewkw
title: Occurrence Download

description: A dataset containing 902032 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Year is greater than or equal to 1980",
 "TaxonKey is Acer pseudoplatanus"
 ]
}

 The dataset includes 902032 records from 2359 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034941-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uhpxf5
title: Occurrence Download

description: A dataset containing 14 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 (Motacilla flava Linnaeus, 1758)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 14 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017427-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.az5xkj
title: Occurrence Download

description: A dataset containing 1278 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-4.47109 36.67861,-4.47116 36.67717,-4.46887 36.67522,-4.46035 36.67126,-4.45362 36.66454,-4.44876 36.67488,-4.45534 36.677,-4.47109 36.67861))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1278 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017428-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xg7yzr
title: Occurrence Download

description: A dataset containing 1910 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-4.47413 36.6793,-4.46809 36.66592,-4.45432 36.66374,-4.44728 36.67519,-4.45794 36.68325,-4.47413 36.6793))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1910 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017429-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qsmng8
title: Occurrence Download

description: A dataset containing 922 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-4.50394 36.65993,-4.44189 36.65993,-4.44189 36.70021,-4.50394 36.70021,-4.50394 36.65993))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 922 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017431-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.azumgf
title: Occurrence Download

description: A dataset containing 1292 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-4.45437 36.66446,-4.44839 36.67462,-4.44903 36.67531,-4.45433 36.67737,-4.46044 36.67802,-4.46737 36.67828,-4.47228 36.67901,-4.4722 36.67841,-4.47099 36.67651,-4.46746 36.67462,-4.46195 36.67221,-4.45795 36.66837,-4.45437 36.66446))",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1292 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017433-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8egfb4
title: Occurrence Download

description: A dataset containing 1297 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-4.44868 36.67466,-4.45318 36.67696,-4.46238 36.67819,-4.4676 36.67835,-4.47251 36.67909,-4.47159 36.67712,-4.46637 36.67425,-4.4585 36.6699,-4.4544 36.66482,-4.44868 36.67466))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1297 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017434-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.epsda7
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017430-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6092/unibo/amsacta/8372
title: Experimental Data on In Vitro Maturation of Cumulus-Enclosed Oocites Exposed to Polystyrene Nanoplastics

description: In recent years, there is increasing concern about the potential harmful effects of nanoplastics (NPs) on mammalian reproductive processes, especially regarding their impact on gametes. Given the limited research on NPs effect on mammalian oocyte, this study investigated the biological impact of increasing concentrations of 100 nm polystyrene nanoplastics (PS-NPs)(5, 50, 100 and 200 μg/mL) on cumulus-enclosed oocytes (COCs), using an in vitro model of pig oocyte maturation (IVM).
These data sets contain the raw data on nuclear maturation, cytoplasmic maturation and developmental competence of oocytes, intracellular oocyte levels of glutathione (GSH) and reactive oxygen species (ROS), and steroidogenic activity of cumulus cells (CCs).
DOI: 10.15468/dl.y9e467
title: Occurrence Download

description: A dataset containing 1274 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-4.45393 36.66483,-4.44826 36.67431,-4.45061 36.67588,-4.45666 36.67752,-4.46194 36.67815,-4.4677 36.67799,-4.4719 36.67924,-4.47171 36.67705,-4.46379 36.67329,-4.46057 36.67141,-4.45393 36.66483))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1274 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017435-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.er4fd7
title: Occurrence Download

description: A dataset containing 1935 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-4.44703 36.67656,-4.46594 36.68353,-4.47956 36.68126,-4.47937 36.66898,-4.46575 36.66154,-4.4546 36.66473,-4.44703 36.67656))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1935 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017437-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e6wp97
title: Occurrence Download

description: A dataset containing 1556 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-4.47318 36.6791,-4.47253 36.67667,-4.46094 36.67006,-4.45455 36.66407,-4.44815 36.6745,-4.45054 36.67641,-4.4591 36.67806,-4.47318 36.6791))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1556 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017436-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.grabba
title: Occurrence Download

description: A dataset containing 2521 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-4.47502 36.66343,-4.44642 36.66343,-4.44642 36.68117,-4.47502 36.68117,-4.47502 36.66343))",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 2521 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017438-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48804/kg0d3s
title: ArchimedesLatinus data

description: This repository contains the Gold Standard (GS), created in the context of the project of UD annotation of Jacopo da San Cassiano's Latin translation of Archimedes' Ancient Greek mathematical texts. Texts were provided by Beatrice Sisana (PhD at the Dipartimento di Studi Umanistici, Università di Roma 3). Sisana created a digital edition of Jacopo's text using MauroTex. In this GitHub we share the text extracted from the critical edition of Jacopo's translation of The Spirals (original_text). The file training data contains the first 48 sentences of The Spirals, while the file test data contains 30 sentences taken from proposition XIX and XX of The Spirals. This data were created by correcting an automated output using [UD Annotatrix] (https://maryszmary.github.io/ud-annotatrix/standalone/annotator.html). The data have been used to train and test the [deep biaffine parser] (https://github.com/chantera/biaffineparser).
DOI: 10.25592/uhhfdm.17412
title: List of Biblia pauperum manuscripts and links to digital reproductions available online

description: This list, availble in .xlsx and .csv formats, provides the locations and shelfmarks of seventy-two manuscripts that contain a version of the <em>Biblia pauperum</em>, along with information regarding digital reproductions that are available online. It also provides links to the descriptions of the individual manuscripts in the <em>Deutschsprachige illustrierte Handschriften des Mittelalters</em> (<em>KdiH</em>), <em>Handschriftencensus</em>, <em>Handschriftenportal</em>, and <em>manuscripta.at</em> databases. It was compiled as part of the research conducted by Malena Ratzke and Hanna Wimmer in the sub-project FNT08: <em>Reframing Old Contents for New Readers in Late-Medieval German One-Volume Libraries</em> at the Cluster of Excellence 2176: <em>Understanding Written Artefacts: Material, Interaction and Transmission in Manuscript Cultures.</em>

The list contains all manuscripts that contain a version of the Biblia pauperum with texts written in German or in German and Latin listed in the <em>KdiH</em>, and many more manuscripts containing Bibliae pauperum written in Latin. Block-book and incunable editions are omitted, with the exception of some books that contain hand-written texts alongside printed elements, such as the only existing chiroxylographic <em>Biblia pauperum</em> Heidelberg, Universitätsbibliothek, Cod. Pal. germ. 438.
description: The research in the context of which this list was compiled was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – EXC 2176 'Understanding Written Artefacts: Material, Interaction and Transmission in Manuscript Cultures', project no. 390893796. The research was conducted within the scope of the Centre for the Study of Manuscript Cultures (CSMC) at Universität Hamburg.
DOI: 10.15468/dl.k8qp96
title: Occurrence Download

description: A dataset containing 1074 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-4.49677 36.64998,-4.43097 36.64998,-4.43097 36.70093,-4.49677 36.70093,-4.49677 36.64998))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1074 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017439-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2k8daa
title: Occurrence Download

description: A dataset containing 950 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-4.50446 36.65249,-4.43564 36.65249,-4.43564 36.69707,-4.50446 36.69707,-4.50446 36.65249))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 950 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017440-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14893663
title: Evaluation of Mediterranean sponges as natural samplers for environmental DNA (eDNA) - Underlying DATA
DOI: 10.5281/zenodo.15583025
title: Evaluation of Mediterranean sponges as natural samplers for environmental DNA (eDNA) - Underlying DATA
DOI: 10.6084/m9.figshare.29222666
title: Supplementary Material for: Pamidronate Treatment of a patient with Opsismodysplasia and a novel INPPL1 variant – Efficacy, Mechanism and Clinical Outcomes

description: Introduction: Opsismodysplasia (OPS) is a rare skeletal dysplasia caused by homozygous variant in the INPPL1 gene (c.1976C&gt;T; p.Pro659Leu) gene mutations, characterized by delayed bone maturation and specific skeletal deformities. While bisphosphonate therapy has been effective in OPS with hypophosphatemic rickets, its use in OPS without this complication is less documented. Case Presentation: A 2-year-and-2-month-old girl with OPS was treated with intravenous pamidronate (0.5 mg/kg/3 months). Initial evaluations showed severe short stature and low bone mineral density (DEXA SDS: -3.16). After three courses of treatment, the patient achieved independent walking, and her DEXA SDS improved to -2.5 over one year. Discussion/Conclusion: Pamidronate is effective in treating OPS even in the absence of hypophosphatemic rickets, showing potential as a therapeutic option for this rare condition.
DOI: 10.6084/m9.figshare.29143316
title: Supplementary Material for: From development to implementation: a systematic review on the current maturity status of artificial intelligence models for patients with colorectal cancer liver metastases

description: Introduction
Artificial intelligence (AI) is increasingly being researched and developed in the medical field and holds potential to transform healthcare after successful implementation. For patients with colorectal cancer liver metastases (CRLM), many AI models have been developed, but knowledge about translation of these models in the clinical workflow is lacking. Therefore, this systematic review aims to provide a contemporary overview of the current maturity status of AI models for patients with CRLM.

Methods
A systematic search of the literature until November 2, 2023 was conducted in PubMed, Embase.com and Clarivate Analytics/Web of Science Core Collection to identify eligible studies. Studies using AI and/or radiomics for patients with CRLM were considered eligible. Data on the study aim, study design, size of dataset, country, type of AI application, level of validation and clinical implementation status (NASA technology readiness levels) were collected. Risk of bias and applicability of the individual studies were evaluated using the Prediction model Risk Of Bias ASsessment Tool (PROBAST).

Results
A total of 117 studies were included. Ninety-seven studies (83%) were published in the last five years. The most common study design was retrospective (96%). Thirty-five studies (30%) utilized a dataset of fewer than 50 patients with CRLM. Internal validation was performed in 63% of studies, external validation in 17%. The remaining studies did not report validation. Half of the studies were classified as high risk of bias. None of the included studies performed real-time testing, workflow integration, clinical testing or clinical integration.

Conclusion
Although a rapid increase in research describing the development of AI models for patients with CRLM is observed in recent years, not a single AI model has been translated into clinical practice.