cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25699560.v1
title: Supplementary Material for: Unstimulated Luteinizing Hormone for Assessment of Suppression During Treatment of Central Precocious Puberty with 6-Month Subcutaneous Leuprolide Acetate: Correlations with Clinical Response

description: Introduction: Phase 3 trial of 6-month subcutaneous leuprolide acetate (SC-LA) in children with central precocious puberty (CPP) demonstrated efficacy and safety. Aims of this secondary analysis: evaluate unstimulated luteinizing hormone (LH) as efficacy measure; assess clinical suppression metrics; and present biochemical and clinical data for subgroups not achieving hormone suppression.
Methods: 62 children with treatment-naïve CPP received 2 doses of 45 mg SC-LA at 24-week intervals. Unstimulated and GnRH-stimulated LH, E2, and T concentrations were measured. Clinical measures included bone age (BA) and predicted adult height (PAH). 
Results: 84% and 86% of children achieved unstimulated LH&lt;1IU/L at weeks 24 and 48, respectively. Of 8 children not achieving unstimulated LH&lt;1IU/L at week 24 that completed the study, all showed lack of pubertal stage progression and stable/decreased BA to chronological age ratio (BA/CA). Received operating characteristic (ROC) analyses suggested unstimulated LH is a good diagnostic predictor of GnRH-stimulated LH&lt;4IU/L at week 24 and 48 (AUC=0.88). Across all children, mean BA/CA improved from 1.4 (screening) to 1.3 (week 48) and mean PAH increased by 3cm. Of 7 girls not achieving stimulated LH&lt;4IU/L at week 24, all achieved E2&lt;10pg/mL, showed lack of pubertal stage progression, and had stable or decreased BA/CA by week 48. Additionally, 6/7 had increased PAH by week 48 and 4 had unstimulated LH&lt;1IU/L. 
Conclusion: Unstimulated LH has value as an efficacy measure and concentrations &lt;1IU/L may be an adequate surrogate of treatment response in children with CPP. All children who completed the study had evidence of pubertal suppression.
DOI: 10.15468/dl.65y2b3
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Glyphostoma dentiferum Gabb, 1873"
 ]
}

 The dataset includes 26 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088057-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r4jadb
title: Occurrence Download

description: A dataset containing 8942490 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong, Macao)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8942490 records from 2599 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041088-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rct4gc
title: Occurrence Download

description: A dataset containing 201 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Biodiversity of springs and rock seepages 2003"
 ]
}

 The dataset includes 201 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017483-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60635/c38p56
title: Physical Monitoring Program metadata for Punta Culebra

description: The file provides a record of most maintenance activities related to the Physical Monitoring Program's Punta Culebra station.Activities include: equipment replacements, sensor maintenance, data logger programming, cleaning, new installations, and general observations.
DOI: 10.15468/dl.5rbjxg
title: Occurrence Download

description: A dataset containing 234 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Blue Futures Pathways Expeditions Biodiversity Observations"
 ]
}

 The dataset includes 234 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017486-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sfdqrq
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Freshwater Biodiversity of the Rufiji Basin Catchment"
 ]
}

 The dataset includes 70 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017482-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13838381
title: Uncovering hundreds of RNA viral RdRps amongst uncharacterised sequences in public protein databases.

description: These data are associated with the following manuscript:

Brown, K., Firth, A. E. (2024)Uncovering hundreds of RNA viral RdRps amongst uncharacterised sequences in public protein databases.
DOI: 10.5281/zenodo.15197415
title: Uncovering hundreds of RNA viral RdRps amongst uncharacterised sequences in public protein databases.

description: These data are associated with the following manuscript:

Brown, K., Firth, A. E. (2025)Uncovering hundreds of RNA viral RdRps amongst uncharacterised sequences in public protein databases.
DOI: 10.5281/zenodo.13620032
title: CSET scholarly literature metadata over OpenAlex works

description: This dataset contains metadata developed at the Center for Security and Emerging Technology that augments OpenAlex works. Currently, this includes outputs of AI, Computer Vision, Robotics, Natural Language Processing, and Cybersecurity classifiers for English-language OpenAlex works published after 2009, and title and abstract-level language IDs. For works with positive predictions for AI, Computer Vision, Robotics, or Natural Language Processing, predictions by an AI Safety classifier are also available.

The attached zip file contains a set of JSONL files which comprise our dataset. Each row conforms to this schema, with null values omitted. This dataset is currently a work in progress and full documentation will be made available at a later date.
DOI: 10.5281/zenodo.14519313
title: CSET scholarly literature metadata over OpenAlex works

description: This dataset contains metadata developed at the Center for Security and Emerging Technology that augments OpenAlex works, including outputs from CSET-developed classifiers. Detailed documentation is available here.

The attached zip file contains a set of JSONL files which comprise our dataset. Each row conforms to this schema, with null values omitted. This dataset is currently a work in progress and full documentation will be made available at a later date.

Research subject classifications are based on work supported in part by the Alfred P. Sloan Foundation under Grant No. G-2023-22358.
DOI: 10.5281/zenodo.11034261
title: CSET scholarly literature metadata over OpenAlex works

description: This dataset contains metadata developed at the Center for Security and Emerging Technology that augments OpenAlex works. Currently, this includes outputs of AI, Computer Vision, Robotics, Natural Language Processing, and Cybersecurity classifiers for English-language OpenAlex works published after 2009, and title and abstract-level language IDs.

The attached zip file contains a set of JSONL files which comprise our dataset. Each row conforms to this schema, with null values omitted. This dataset is currently a work in progress and full documentation will be made available at a later date.
DOI: 10.5281/zenodo.11098781
title: CSET scholarly literature metadata over OpenAlex works

description: This dataset contains metadata developed at the Center for Security and Emerging Technology that augments OpenAlex works. Currently, this includes outputs of AI, Computer Vision, Robotics, Natural Language Processing, and Cybersecurity classifiers for English-language OpenAlex works published after 2009, and title and abstract-level language IDs. For works with positive predictions for AI, Computer Vision, Robotics, or Natural Language Processing, predictions by an AI Safety classifier are also available.

The attached zip file contains a set of JSONL files which comprise our dataset. Each row conforms to this schema, with null values omitted. This dataset is currently a work in progress and full documentation will be made available at a later date.
DOI: 10.5281/zenodo.11398006
title: CSET scholarly literature metadata over OpenAlex works

description: This dataset contains metadata developed at the Center for Security and Emerging Technology that augments OpenAlex works. Currently, this includes outputs of AI, Computer Vision, Robotics, Natural Language Processing, and Cybersecurity classifiers for English-language OpenAlex works published after 2009, and title and abstract-level language IDs. For works with positive predictions for AI, Computer Vision, Robotics, or Natural Language Processing, predictions by an AI Safety classifier are also available.

The attached zip file contains a set of JSONL files which comprise our dataset. Each row conforms to this schema, with null values omitted. This dataset is currently a work in progress and full documentation will be made available at a later date.
DOI: 10.5281/zenodo.11398059
title: CSET scholarly literature metadata over OpenAlex works

description: This dataset contains metadata developed at the Center for Security and Emerging Technology that augments OpenAlex works. Currently, this includes outputs of AI, Computer Vision, Robotics, Natural Language Processing, and Cybersecurity classifiers for English-language OpenAlex works published after 2009, and title and abstract-level language IDs. For works with positive predictions for AI, Computer Vision, Robotics, or Natural Language Processing, predictions by an AI Safety classifier are also available.

The attached zip file contains a set of JSONL files which comprise our dataset. Each row conforms to this schema, with null values omitted. This dataset is currently a work in progress and full documentation will be made available at a later date.
DOI: 10.5281/zenodo.12523519
title: CSET scholarly literature metadata over OpenAlex works

description: This dataset contains metadata developed at the Center for Security and Emerging Technology that augments OpenAlex works. Currently, this includes outputs of AI, Computer Vision, Robotics, Natural Language Processing, and Cybersecurity classifiers for English-language OpenAlex works published after 2009, and title and abstract-level language IDs. For works with positive predictions for AI, Computer Vision, Robotics, or Natural Language Processing, predictions by an AI Safety classifier are also available.

The attached zip file contains a set of JSONL files which comprise our dataset. Each row conforms to this schema, with null values omitted. This dataset is currently a work in progress and full documentation will be made available at a later date.
DOI: 10.5281/zenodo.12813811
title: CSET scholarly literature metadata over OpenAlex works

description: This dataset contains metadata developed at the Center for Security and Emerging Technology that augments OpenAlex works. Currently, this includes outputs of AI, Computer Vision, Robotics, Natural Language Processing, and Cybersecurity classifiers for English-language OpenAlex works published after 2009, and title and abstract-level language IDs. For works with positive predictions for AI, Computer Vision, Robotics, or Natural Language Processing, predictions by an AI Safety classifier are also available.

The attached zip file contains a set of JSONL files which comprise our dataset. Each row conforms to this schema, with null values omitted. This dataset is currently a work in progress and full documentation will be made available at a later date.
DOI: 10.5281/zenodo.13151645
title: CSET scholarly literature metadata over OpenAlex works

description: This dataset contains metadata developed at the Center for Security and Emerging Technology that augments OpenAlex works. Currently, this includes outputs of AI, Computer Vision, Robotics, Natural Language Processing, and Cybersecurity classifiers for English-language OpenAlex works published after 2009, and title and abstract-level language IDs. For works with positive predictions for AI, Computer Vision, Robotics, or Natural Language Processing, predictions by an AI Safety classifier are also available.

The attached zip file contains a set of JSONL files which comprise our dataset. Each row conforms to this schema, with null values omitted. This dataset is currently a work in progress and full documentation will be made available at a later date.
DOI: 10.5281/zenodo.13836025
title: CSET scholarly literature metadata over OpenAlex works

description: This dataset contains metadata developed at the Center for Security and Emerging Technology that augments OpenAlex works. Currently, this includes outputs of AI, Computer Vision, Robotics, Natural Language Processing, and Cybersecurity classifiers for English-language OpenAlex works published after 2009, and title and abstract-level language IDs. For works with positive predictions for AI, Computer Vision, Robotics, or Natural Language Processing, predictions by an AI Safety classifier are also available.

The attached zip file contains a set of JSONL files which comprise our dataset. Each row conforms to this schema, with null values omitted. This dataset is currently a work in progress and full documentation will be made available at a later date.
DOI: 10.5281/zenodo.13989105
title: CSET scholarly literature metadata over OpenAlex works

description: This dataset contains metadata developed at the Center for Security and Emerging Technology that augments OpenAlex works. Currently, this includes outputs of AI, Computer Vision, Robotics, Natural Language Processing, and Cybersecurity classifiers for English-language OpenAlex works published after 2009, and title and abstract-level language IDs. For works with positive predictions for AI, Computer Vision, Robotics, or Natural Language Processing, predictions by an AI Safety classifier are also available.

The attached zip file contains a set of JSONL files which comprise our dataset. Each row conforms to this schema, with null values omitted. This dataset is currently a work in progress and full documentation will be made available at a later date.
DOI: 10.5281/zenodo.14503642
title: CSET scholarly literature metadata over OpenAlex works

description: This dataset contains metadata developed at the Center for Security and Emerging Technology that augments OpenAlex works. Currently, this includes outputs of AI, Computer Vision, Robotics, Natural Language Processing, and Cybersecurity classifiers for English-language OpenAlex works published after 2009, and title and abstract-level language IDs. For works with positive predictions for AI, Computer Vision, Robotics, or Natural Language Processing, predictions by an AI Safety classifier are also available.

The attached zip file contains a set of JSONL files which comprise our dataset. Each row conforms to this schema, with null values omitted. This dataset is currently a work in progress and full documentation will be made available at a later date.
DOI: 10.5281/zenodo.14518637
title: CSET scholarly literature metadata over OpenAlex works

description: This dataset contains metadata developed at the Center for Security and Emerging Technology that augments OpenAlex works. Currently, this includes outputs of AI, Computer Vision, Robotics, Natural Language Processing, and Cybersecurity classifiers for English-language OpenAlex works published after 2009, and title and abstract-level language IDs. For works with positive predictions for AI, Computer Vision, Robotics, or Natural Language Processing, predictions by an AI Safety classifier are also available.

The attached zip file contains a set of JSONL files which comprise our dataset. Each row conforms to this schema, with null values omitted. This dataset is currently a work in progress and full documentation will be made available at a later date.
DOI: 10.5281/zenodo.14553603
title: CSET scholarly literature metadata over OpenAlex works

description: This dataset contains metadata developed at the Center for Security and Emerging Technology that augments OpenAlex works, including outputs from CSET-developed classifiers. Detailed documentation is available here.

The attached zip file contains a set of JSONL files which comprise our dataset. Each row conforms to this schema, with null values omitted. This dataset is currently a work in progress and full documentation will be made available at a later date.

Research subject classifications are based on work supported in part by the Alfred P. Sloan Foundation under Grant No. G-2023-22358.
DOI: 10.5281/zenodo.15197428
title: CSET scholarly literature metadata over OpenAlex works

description: This dataset contains metadata developed at the Center for Security and Emerging Technology that augments OpenAlex works, including outputs from CSET-developed classifiers. Detailed documentation is available here.

The attached zip file contains a set of JSONL files which comprise our dataset. Each row conforms to this schema, with null values omitted. This dataset is currently a work in progress and full documentation will be made available at a later date.

Research subject classifications are based on work supported in part by the Alfred P. Sloan Foundation under Grant No. G-2023-22358.
DOI: 10.5281/zenodo.15195718
title: UGV_platform_sensor_dataset_March_2025

description: The dataset contains RGB-D image streams  gathered in a visit to an outdoor railway in CHIVA, Valencia. Data was gathered in March 2025. 2 Intel D-435 were mounted on wheeled platform mounted in rails. Both Intel cameras are looking at rail (bolts and clips). To visualize the gathered data in RVIZ follow the next steps:



Launch roscore:  $ roscore

Play in loop desired rosbag:  $ rosbag play   2025-04-02-12-XX-XX-XX_X.bag -l 

Launch RVIZ to visualize the cameras: $ rviz


RGB image topics are the following:



/camera1/color/image_raw

/camera3/color/image_raw
DOI: 10.5281/zenodo.15195719
title: UGV_platform_sensor_dataset_March_2025

description: The dataset contains RGB-D image streams  gathered in a visit to an outdoor railway in CHIVA, Valencia. Data was gathered in March 2025. 2 Intel D-435 were mounted on wheeled platform mounted in rails. Both Intel cameras are looking at rail (bolts and clips). To visualize the gathered data in RVIZ follow the next steps:



Launch roscore:  $ roscore

Play in loop desired rosbag:  $ rosbag play   2025-04-02-12-XX-XX-XX_X.bag -l 

Launch RVIZ to visualize the cameras: $ rviz


RGB image topics are the following:



/camera1/color/image_raw

/camera3/color/image_raw
DOI: 10.5281/zenodo.11151212
title: Underwater images collected by  Scuba diving in Hermitage, Réunion - 2021-01-13

description: This dataset was collected by  Scuba diving in Hermitage, Réunion - 2021-01-13. 

            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.

            

            
 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