cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15532612
title: DVS-UP-Fall Dataset

description: DVS-UP-Fall: Event-Based Dataset for Fall Detection

The DVS-UP-Fall dataset is an event-based version of the publicly available UP-Fall Detection dataset, tailored for advancing fall detection research using neuromorphic vision sensors and spiking neural networks. This dataset has been generated by converting RGB video data to event streams using two leading event conversion toolkits: v2e (video-to-events) and v2ce (video-to-continuous-events).

The dataset is structured into two main ZIP archives:

1. dvs-up-fall-v2e-dataset-160.zip: This archive contains event data generated using the v2e toolkit. 

2. dvs-up-fall-v2ce-dataset-160.zip: This archive contains event data generated using the v2ce toolkit.

Label Files

To support supervised learning and benchmarking, we provide the following label files.





CompleteDataSet.csv: Original UP-Fall labels including IMU, EEG, and IR sensor data.




labels_multiclass_w1.0.csv: Multiclass activity labels for 1.0-second non-overlapping windows.




labels_binary_w1.0.csv: Binary (fall vs. no-fall) labels for 1.0-second non-overlapping windows.




labels_multiclass_w0.5.csv: Multiclass activity labels for 0.5-second windows.




labels_binary_w0.5.csv: Binary labels for 0.5-second windows.



This dataset supports both binary and multiclass activity classification tasks using event-based data and is suitable for training and evaluating spiking neural networks (SNNs).

All data is organized per subject, activity, trial, and camera, consistent with the original UP-Fall dataset structure.
DOI: 10.15468/dl.7y2az3
title: Occurrence Download

description: A dataset containing 2362 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Madagascar",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Indri indri (Gmelin, 1788)"
 ]
}

 The dataset includes 2362 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011758-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ctepd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galaxias Cuvier, 1816",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((17.949 -34.5253,17.9648 -34.5378,17.9648 -34.1504,17.8905 -34.1504,17.949 -34.5253))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011759-250525065834625/datasets/export for details.
DOI: 10.15468/dl.49ygxy
title: Occurrence Download

description: A dataset containing 317 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Occurrence evidence",
 "Continent is Africa",
 "Country is Benin",
 "DatasetKey is one of (Etude exploratoire des communautés végétales des forêts classées de Kilibo et Youi, Census of the flora of Benin, Census of plant and animal species in sacred forests of RAMSAR sites 1017 and 1018 in Benin, Census of plant species in Bonou forest reserve (Southern Benin), Census in Agrimey forest reserve (southern Benin), Census of species recorded during phytosociological surveys in Benin, Census of fodder species through central and north of Benin, Inventaire des espèces végétales dans la forêt naturelle et les jachères de la Lama, Ethnobotanical surveys species in Benin (West Africa), Recensement des espèces en vue de l'élaboration du répertoire des forêts sacrées, forêts galeries, savanes et autres formation floristique du Bénin.)",
 "OccurrenceStatus is Present",
 "TaxonKey is Milicia excelsa (Welw.) C.C.Berg",
 "Year 1984-2025"
 ]
}

 The dataset includes 317 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011760-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2jgqrk
title: Occurrence Download

description: A dataset containing 5826 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bambusa vulgaris Schrad. ex J.C.Wendl."
 ]
}

 The dataset includes 5826 records from 341 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011761-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4mv6aa
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Passiflora huamachucoensis"
 ]
}

 The dataset includes 10 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034529-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xa3df6
title: Occurrence Download

description: A dataset containing 216 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Passiflora lobbii"
 ]
}

 The dataset includes 216 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034531-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9aeuwh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gila coerulea",
 "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/0034532-251025141854904/datasets/export for details.
DOI: 10.21227/qhrt-1c83
title: "Case Study for Federated Learning Parameters Selection for Target Medical Imaging Domain"

description: "The results that were generated by IntelliFL framework duringthe execution of medical imaging case study. The data from csv\/ directory is used in tables and plots in our manuscript, and includes all metrics collected by our framework."
DOI: 10.15468/dl.wq47yv
title: Occurrence Download

description: A dataset containing 31771 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-106.3188 23.09913, -106.1688 23.09913, -106.1688 23.24913, -106.3188 23.24913, -106.3188 23.09913))"
 ]
}

 The dataset includes 31771 records from 164 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034533-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pp76eg
title: Occurrence Download

description: A dataset containing 145 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Passiflora peduncularis"
 ]
}

 The dataset includes 145 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034534-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17613628
title: Underwater images collected by a Kite surf in Le-Morne-With-Aerial, Mauritius - 2018-04-08

description: This dataset was collected by a Kite surf in Le-Morne-With-Aerial, Mauritius - 2018-04-08. 

            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: 10.5281/zenodo.17613705
title: Underwater images collected by a Kite surf in Le-Morne-With-Aerial, Mauritius - 2018-04-08

description: This dataset was collected by a Kite surf in Le-Morne-With-Aerial, Mauritius - 2018-04-08. 

            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.pc76ap
title: Occurrence Download

description: A dataset containing 16379505 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is 4d3ceea8-5699-439d-a899-decac9cbbdac",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 16379505 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034517-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mr28y2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gila orcuttii",
 "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/0034535-251025141854904/datasets/export for details.
DOI: 10.5281/zenodo.17610182
title: Vocalscape

description: .
DOI: 10.15468/dl.agvstt
title: Occurrence Download

description: A dataset containing 223 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Iran (Islamic Republic of)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Calopteryx splendens"
 ]
}

 The dataset includes 223 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034536-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9qcc7d
title: Occurrence Download

description: A dataset containing 6308 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.4688 23.24913, -109.3188 23.24913, -109.3188 23.39913, -109.4688 23.39913, -109.4688 23.24913))"
 ]
}

 The dataset includes 6308 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034537-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tg4zuj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gila pandora",
 "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/0034538-251025141854904/datasets/export for details.
DOI: 10.15468/dl.3k23w4
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.3188 23.24913, -109.1688 23.24913, -109.1688 23.39913, -109.3188 23.39913, -109.3188 23.24913))"
 ]
}

 The dataset includes 34 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034539-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tejtv3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gila robusta",
 "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/0034540-251025141854904/datasets/export for details.
DOI: 10.15468/dl.4kuh72
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.1688 23.24913, -109.0188 23.24913, -109.0188 23.39913, -109.1688 23.39913, -109.1688 23.24913))"
 ]
}

 The dataset includes 48 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034542-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17613843
title: DAO Analyzer dataset

description: DAO-Analyzer's dataset.


Explore data from Decentralized Autonomous Organizations deployed on the DAOstack, DAOhaus and Aragon platforms.
description: DAO-Analyzer is created under the umbrella of multiple research projects:



Chain Community, funded by the Spanish Ministry of Science and Innovation (RTI2018‐096820‐A‐I00) and led by Javier Arroyo and Samer Hassan

P2P Models, funded by the European Research Council (ERC-2017-STG 625 grant no.: 75920), led by Samer Hassan.

DAOapplications, funded by the Spanish Ministry of Science and Innovation (PID2021-127956OB-I00) and led by Javier Arroyo, Samer Hassan and maria Cruz Valiente
DOI: 10.15468/dl.ajcf7g
title: Occurrence Download

description: A dataset containing 123 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Passiflora sagasteguii"
 ]
}

 The dataset includes 123 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034543-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uxwuvg
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Peperomia andina"
 ]
}

 The dataset includes 26 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034544-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2usx9g
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gila seminuda",
 "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/0034545-251025141854904/datasets/export for details.
DOI: 10.15468/dl.vew4x7
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.0188 23.24913, -108.8688 23.24913, -108.8688 23.39913, -109.0188 23.39913, -109.0188 23.24913))"
 ]
}

 The dataset includes 31 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034546-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s4mwvp
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Piper laurinum"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034547-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a87m3b
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plantago limensis"
 ]
}

 The dataset includes 139 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034548-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8mwdzp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Giuris margaritacea",
 "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/0034549-251025141854904/datasets/export for details.
DOI: 10.15468/dl.ways4s
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-108.8688 23.24913, -108.7188 23.24913, -108.7188 23.39913, -108.8688 23.39913, -108.8688 23.24913))"
 ]
}

 The dataset includes 54 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034550-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c50000d2v
title: MassIVE MSV000099914 - S. elongatus PCC 7942 Proteome Integral Solubility Alteration (PISA) Proteomics - Light vs Dark with Dense and Dilute
title: PISA experimental assays investigating structural alterations in Light vs Dark growth conditions with Dense and Dilute conditions. Samples are representative of Synechococcus elongatus PCC 7942 cell lysates (BTO:0004304). Purpose: Detecting structural and abundance changes in cyanobacterial cultures grown in conditions mimicking environmental perturbations such as dense light, dense dark, dilute light, and dilute dark. Technique: Proteome Integral Solubility Assay (PISA) and Global Proteomics. Other Details: TMT10 Labelled, Not-fractionated, 3 plexes in total (Plex1- PISA Dense Light and Dark, Plex2- PISA Dilute Light and Dark, Plex3- Global Dilute Light and Dark, No global proteomics for dense samples). Data was searched with MS-GF+ using PNNL's DMS Processing pipeline.
DOI: 10.15468/dl.r3rvz7
title: Occurrence Download

description: A dataset containing 10472 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Month is November",
 "TaxonKey is Plantae",
 "Year 2025-2025"
 ]
}

 The dataset includes 10472 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034551-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.