cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30478634
title: WalkingMaps Points of Interest (POI) Dataset with Descriptions, Images

description: This dataset was constructed for research on multimodal text generation of Points of Interest (POIs) in leisure walking contexts.<br>Data collected from the <i>WalkingMaps</i> platform (https://walkingmaps.com.au) <br>Each POI entry includes:<b>Title</b> and <b>user-generated description</b><b>Geographic coordinates (latitude, longitude)</b><b>Associated images</b> contributed by walkersThe dataset was compiled and curated as part of a Master’s thesis at the University of Melbourne (2025).Potential uses include multimodal learning, geospatial text analysis, and natural language generation for location-based applications.
DOI: 10.6084/m9.figshare.30478634.v1
title: WalkingMaps Points of Interest (POI) Dataset with Descriptions, Images

description: This dataset was constructed for research on multimodal text generation of Points of Interest (POIs) in leisure walking contexts.<br>Data collected from the <i>WalkingMaps</i> platform (https://walkingmaps.com.au) <br>Each POI entry includes:<b>Title</b> and <b>user-generated description</b><b>Geographic coordinates (latitude, longitude)</b><b>Associated images</b> contributed by walkersThe dataset was compiled and curated as part of a Master’s thesis at the University of Melbourne (2025).Potential uses include multimodal learning, geospatial text analysis, and natural language generation for location-based applications.
DOI: 10.15468/dl.w9aujf
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "TaxonKey is Myrtus communis"
 ]
}

 The dataset includes 95 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006412-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pyhsdu
title: Occurrence Download

description: A dataset containing 2457 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Magnoliopsida",
 "Country is Djibouti",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 2457 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006413-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17463951
title: Persistent Green Luminescence in Nanoparticles Functionalized with SARS-CoV‑2 Spike Proteins: Virus-Like Particles Showing Active Targeting toward Selected Cells

description: Raw data for the publication entitled as: "Persistent green luminescence in nanoparticles functionalized with SARS-CoV-2 spike proteins – virus like particles showing active targeting towards selected cells".

A detailed description of the attached RAW data can be found in the “README.txt” file.
DOI: 10.5281/zenodo.17463952
title: Persistent Green Luminescence in Nanoparticles Functionalized with SARS-CoV‑2 Spike Proteins: Virus-Like Particles Showing Active Targeting toward Selected Cells

description: Raw data for the publication entitled as: "Persistent green luminescence in nanoparticles functionalized with SARS-CoV-2 spike proteins – virus like particles showing active targeting towards selected cells".

A detailed description of the attached RAW data can be found in the “README.txt” file.
DOI: 10.5281/zenodo.17474611
title: DMRsegaldata Source Files

description:  Data package providing example DNA methylation files. Includes a sorted beta matrix as a tab-delimited, bgzip-compressed file and a matching phenotype table. The data contains 10 healthy and 10 cancer samples, and preprocessing has already been performed on the beta values.
DOI: 10.15468/rs4nk7
title: Données de la quête INPN Espèces : Le Bleuet fleurit-il encore nos moissons ?

description: Le CBNBP (Conservatoire botanique national du Bassin parisien) s’interroge sur la répartition actuelle du Bleuet des moissons. Le Bleuet aussi appelé Barbeau, autrefois omniprésent dans les cultures, a connu une phase de régression à la suite des modifications des pratiques agricoles. Aujourd’hui, celui-ci semble peu à peu regagner des territoires. Qu’en est-il exactement ?



On s’intéressera ici aux populations colonisant exclusivement les milieux agricoles, comme les cultures de céréales mais aussi les champs de colza, voir d’autres cultures. Les populations introduites aux fleurs souvent roses, blanches, présentes dans les bandes et jachères fleuries, les abords de villages et les jardins, ne seront pas à prendre en compte dans cette enquête.



Il n’existe pas de risque de confusion important entre le Bleuet et une autre espèce. Le Bleuet des montagnes, plante vivace, occupe principalement les prairies et lisières des étages montagnards, et peut parfois être planté dans les jardins.
DOI: 10.15468/eh7xdr
title: Plan régional d’actions en faveur des lépidoptères patrimoniaux (PRAL) : 2ème phase (2019) menée par le CEN Aquitaine-Observations faunistiques fortuites réalisées par le CEN Aquitaine dans le cadre de l'animation Enquête de Nature du Département des Landes

description: Cette manifestation est l’occasion de découvrir le monde vivant qui nous entoure, de faire connaître et valoriser les actions des naturalistes en faveur de la biodiversité grâce aux sciences participatives.

Durant 24 heures, les techniciens naturalistes du Département des Landes et les partenaires du réseau Nature 40 vous proposent des animations tout public : réalisation d’inventaires sur la faune et la flore de la commune de Labenne, ateliers créatifs et de découverte, expositions et conférence.
Dans le cadre du PRAL, le CEN Aquitaine à animé une sortie axée sur les papillons de jour. Les données de ce jeu de données concernent les taxons autres que Papillons de jour observés lors de cette sortie.
DOI: 10.5281/zenodo.17361094
title: Data, Scripts underlying the manuscript

description: Data & Scripts of manuscript
DOI: 10.5281/zenodo.14526115
title: Benchamark for GRAP-MOT: Unsupervised Graph-based Position Weighted Person Multi-camera Multi-object Tracking in a Highly Congested Space

description: This dataset is a large-scale collection of precisely annotated images, that can be used both for training and validating person multi-camera tracking algorithms. This benchmark focuses on the problem of multi-camera tracking of people in restricted areas like public transport or indoor locations. Our approach focuses on re-identification based on  heads, thus only the heads of people were labelled.

During making the recordings, we made sure that no people were entering or leaving the area during recording a single take. The dataset consists of videos taken from 3 different angles. Each video is 256 frames long. 

The videos were grouped by the number of people (from 2 to 15), that are in the recorded area.  We have 10 recordings for each group giving in total 140 recordings.

Each image was later manually labelled in the form of bounding boxes. Bounding boxes of the same person in the same take between 3 cameras have the same id on all images. 

Our frame is equipped with 3 cameras. One (Fish Eye) in the middle and two (regular ones) in the corners. The FE camera takes pictures in 1280X960 resolution, while the side ones are in 1920X1080 pixels. All images are stored as .jpg files.

 

Each image has a corresponding text file stored in labels.tar.gz file. Label files have a following structure. 

Exemplary file:

1      0.455469    0.360938    0.039062     0.0656250     0.247656    0.476042     0.031250     0.0500002     0.671875     0.514062     0.051562      0.076042

 

1st column: number of if. It is unique fir each passenger on a take.

2nd column: X: relative horizontal distance from the left upper corner of an image to the middle of detection

3rd column: Y: relative vertical distance from the left upper corner of an image to the middle of detection

4th column: W  relative width of the detection

5th column: H  relative height of the detection

Unfortunately due to technical limitations could not publish the whole dataset at once. The full dataset can be found under this link "".

 

In this repository, we provide





Labelled recordings of people in the restricted area ranging from 2 to 15 on a single take.


For each number of people, 10 takes were taken



Each take was taken from 3 overlapping cameras at the same time



 

Citing our work

 



 


and this Zenodo Dataset



@dataset{GRAP_MOT_zenodo,
    author       = {Marek Socha, Michał Marczyk, Aleksander Kempski, Michał Cogiel, Paweł Foszner, Michał Staniszewski},
    title        = {Benchamark for GRAP-MOT: Unsupervised Graph-based Position Weighted Person Multi-camera Multi-object Tracking in a Highly Congested Space},
    month        = DEC,
    year         = 2024,
    publisher    = {Zenodo},
    version      = {1.0.0},
    doi          = {10.5281/zenodo.14526116},
    url          = {https://zenodo.org/records/14526116}
}
DOI: 10.5281/zenodo.14526116
title: Benchamark for GRAP-MOT: Unsupervised Graph-based Position Weighted Person Multi-camera Multi-object Tracking in a Highly Congested Space

description: This dataset is a large-scale collection of precisely annotated images, that can be used both for training and validating person multi-camera tracking algorithms. This benchmark focuses on the problem of multi-camera tracking of people in restricted areas like public transport or indoor locations. Our approach focuses on re-identification based on  heads, thus only the heads of people were labelled.

During making the recordings, we made sure that no people were entering or leaving the area during recording a single take. The dataset consists of videos taken from 3 different angles. Each video is 256 frames long. 

The videos were grouped by the number of people (from 2 to 15), that are in the recorded area.  We have 10 recordings for each group giving in total 140 recordings.

Each image was later manually labelled in the form of bounding boxes. Bounding boxes of the same person in the same take between 3 cameras have the same id on all images. 

Our frame is equipped with 3 cameras. One (Fish Eye) in the middle and two (regular ones) in the corners. The FE camera takes pictures in 1280X960 resolution, while the side ones are in 1920X1080 pixels. All images are stored as .jpg files.

 

Each image has a corresponding text file stored in labels.tar.gz file. Label files have a following structure. 

Exemplary file:

1      0.455469    0.360938    0.039062     0.0656250     0.247656    0.476042     0.031250     0.0500002     0.671875     0.514062     0.051562      0.076042

 

1st column: number of if. It is unique fir each passenger on a take.

2nd column: X: relative horizontal distance from the left upper corner of an image to the middle of detection

3rd column: Y: relative vertical distance from the left upper corner of an image to the middle of detection

4th column: W  relative width of the detection

5th column: H  relative height of the detection

Unfortunately due to technical limitations could not publish the whole dataset at once. The full dataset can be found under this link "".

 

In this repository, we provide





Labelled recordings of people in the restricted area ranging from 2 to 15 on a single take.


For each number of people, 10 takes were taken



Each take was taken from 3 overlapping cameras at the same time



 

Citing our work

 



 


and this Zenodo Dataset



@dataset{GRAP_MOT_zenodo,
    author       = {Marek Socha, Michał Marczyk, Aleksander Kempski, Michał Cogiel, Paweł Foszner, Michał Staniszewski},
    title        = {Benchamark for GRAP-MOT: Unsupervised Graph-based Position Weighted Person Multi-camera Multi-object Tracking in a Highly Congested Space},
    month        = DEC,
    year         = 2024,
    publisher    = {Zenodo},
    version      = {1.0.0},
    doi          = {10.5281/zenodo.14526116},
    url          = {https://zenodo.org/records/14526116}
}
DOI: 10.15468/jujcgr
title: Swiss National Breeding Bird Databank

description: Breeding season records (all breeding bird species of Switzerland). This public dataset presents the last year of breeding recorded for 5x5 km grid cells. This dataset is based on validated records mainly mobilized via the citizen science platform https://www.ornitho.ch, operated by SOI, and various monitoring programs.
DOI: 10.5281/zenodo.15582230
title: Support data for paper "Temporal Attention Multi-Resolution Fusion of Satellite Image Time-Series, applied to Landsat-8 and Sentinel-2: all bands, any time, at best spatial resolution"

description: Description

This dataset contains support data for the following paper:



Julien Michel, Jordi Inglada. Temporal Attention Multi-Resolution Fusion of Satellite Image Time-Series, applied to Landsat-8/9 and Sentinel-2: all bands, any time, at best spatial resolution. 2025. ⟨hal-05101526v2⟩


It contains two zip files:



 model.zip : The baseline pre-trained TAMRF model and its hydra configuration (as well as all models trained during ablation studies), to be used with test script in source code (see https://github.com/Evoland-Land-Monitoring-Evolution/tamrfsits)

results.zip : CSV files containing the results presented in the paper, as well as additional result data.


Licence

Creative Commons Attribution 4.0 InternationalThe Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited.

Acknowledgments



This work was partly performed using HPC resources from GENCI-IDRIS (Grant 2023-AD010114835)

This work was partly performed using HPC resources from CNES Computing Center.

The authors acknowledge funding from the EvoLand project (Evolution of the Copernicus Land Service portfolio, grant agreement No 101082130) funded from the European Union's Horizon Europe research and innovation program.
DOI: 10.5281/zenodo.17474541
title: Support data for paper "Temporal Attention Multi-Resolution Fusion of Satellite Image Time-Series, applied to Landsat-8 and Sentinel-2: all bands, any time, at best spatial resolution"

description: Description

This dataset contains support data for the following paper:



Julien Michel, Jordi Inglada. Temporal Attention Multi-Resolution Fusion of Satellite Image Time-Series, applied to Landsat-8/9 and Sentinel-2: all bands, any time, at best spatial resolution. 2025. ⟨hal-05101526v2⟩


It contains two zip files:



 model.zip : The baseline pre-trained TAMRF model and its hydra configuration (as well as all models trained during ablation studies), to be used with test script in source code (see https://github.com/Evoland-Land-Monitoring-Evolution/tamrfsits)

results.zip : CSV files containing the results presented in the paper, as well as additional result data.


Licence

Creative Commons Attribution 4.0 InternationalThe Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited.

Acknowledgments



This work was partly performed using HPC resources from GENCI-IDRIS (Grant 2023-AD010114835)

This work was partly performed using HPC resources from CNES Computing Center.

The authors acknowledge funding from the EvoLand project (Evolution of the Copernicus Land Service portfolio, grant agreement No 101082130) funded from the European Union's Horizon Europe research and innovation program.
DOI: 10.5281/zenodo.17467196
title: larch-usher-tex-examples
DOI: 10.5281/zenodo.17467197
title: larch-usher-tex-examples
DOI: 10.15468/4rckkd
title: Froglife's Common Toad and Great Crested Newt records from the UK Toads on Roads project from 2000-2024 (inclusive)

description: Records of Common Toads and Great Crested Newts from registered Toad Crossings. This is a summary of the data collected for the purpose of alerting authorities to the location of toad crossings and presence of great crested newts.

Froglife is a UK based nationwide conservation charity with a focus on UK amphibians and reptiles which aims to ‘transform landscapes, transform lives and transform research’. Since 1989 Froglife has been at the heart of efforts to conserve native amphibians and reptiles bringing a central voice for public advice on issues surrounding their conservation. Find out more here: https://www.froglife.org/. Froglife's Toads on Roads project supports volunteer patrols who move common toads safely across roads at registered toad crossings as part of their annual Spring migration. It is these records demonstrated in this dataset. Find out more about the project here: www.froglife.org/toads-on-roads

More detailed breakdowns of the data can be requested from info@froglife.org
DOI: 10.15468/dl.9tbjj2
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dioscorea crotalariifolia"
 ]
}

 The dataset includes 59 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006416-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17474549
title: Dantari Microlitrh Dataset
DOI: 10.5281/zenodo.17474550
title: Dantari Microlitrh Dataset
DOI: 10.15468/dl.hmqcgc
title: Occurrence Download

description: A dataset containing 3845 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is COL.22.62_2",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 3845 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006420-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bthvnh
title: Occurrence Download

description: A dataset containing 591 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Marsilea strigosa"
 ]
}

 The dataset includes 591 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006421-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/eddrrm
title: Étude et conservation des Lépidoptères nocturnes du Poitou dans les réservoirs de biodiversité bocagers, de pelouses sèches, de landes et de bois-Inventaire sur les sites de pelouses sèches en Deux-Sèvres

description: Les inventaires seront menés sur la trame bocagère des 2 départements, chez les agriculteurs/éleveur volontaires ainsi que sur des milieux complémentaires, à savoir 5 sites de pelouses sèches en Deux-Sèvres.
Des cycles de formation seront proposés aux bénévoles des 2 associations afin de former un réseau d'observateurs, et de leur mettre à disposition du matériel pour effectuer des inventaires chez eux, dans leur jardin. Cela permettra de récolter des informations sur la trame urbaine et les espèces qu'elle héberge.
DOI: 10.3886/e239366
title: HIFLD OPEN Intermodal Freight Facilities Air-to-Truck

description: The Intermodal Freight Facilities - Air-to-Truck dataset was compiled on January 15, 2019 and was updated on February 24, 2020 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This dataset includes air to truck intermodal freight facilities for the top 60 airports by total freight moved in 2017. This dataset is one of several layers in the Bureau of Transportation Statistics (BTS) Intermodal Freight Facility Database.
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025.
DOI: 10.3886/e239366v1
title: HIFLD OPEN Intermodal Freight Facilities Air-to-Truck

description: The Intermodal Freight Facilities - Air-to-Truck dataset was compiled on January 15, 2019 and was updated on February 24, 2020 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This dataset includes air to truck intermodal freight facilities for the top 60 airports by total freight moved in 2017. This dataset is one of several layers in the Bureau of Transportation Statistics (BTS) Intermodal Freight Facility Database.
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025.
DOI: 10.15468/fmqxya
title: Mission forêt : le Sonneur à ventre jaune - Données de la quête INPN Espèces : Mission forêt, le Sonneur à ventre jaune

description: Noé vous propose de partir à la découverte du milieu forestier à travers ses « Missions forêt ». Partez à la recherche du Sonneur à ventre jaune, un petit crapaud mesurant entre 4 et 5 cm. Il se caractérise par son ventre jaune à orange marbré de noir ; le dessus est d’un brun marron terreux. Notez également sa pupille en forme de cœur ou de triangle et son iris doré !<br>

<br>

Cette espèce, dont la présence est avérée dans l’est, le centre et le centre ouest de la France, est classe « Vulnérable » sur la Liste rouge des amphibiens de France métropolitaine.<br>

<br>

Il apprécie les milieux ouverts tels que les bocages et les prairies mais peut aussi se rencontrer en lisière de forêt. Il sera le plus actif entre mai et août, qui correspond à sa période de reproduction, mais on peut le voir dès le mois de mars et jusqu’en septembre-octobre. Pour le trouver, observez bien les ornières, les fossés en bordure de chemin et les flaques. <br>

<br>

Plus d’informations sur https://biodiversite-foret.fr/les-especes-2/reptiles-amphibiens/sonneur-a-ventre-jaune/<br>

<br>

© Michel Rauch/Biosphoto
DOI: 10.5281/zenodo.14843822
title: Doppler lidar measurements from Weil am Rhein, Swabian MOSES 2023, Level 0 netCDF files

description: Original Doppler lidar measurements from the Doppler lidar Leosphere WLS200s_159 located at Weil am Rhein, Germany (47.5886°N, 7.6078°E), sampled during the Swabian MOSES 2023 field campaign from June to August 2023.  
description: Instrument: Doppler lidar Leosphere WLS200s
DOI: 10.5281/zenodo.14843823
title: Doppler lidar measurements from Weil am Rhein, Swabian MOSES 2023, Level 0 netCDF files

description: Original Doppler lidar measurements from the Doppler lidar Leosphere WLS200s_159 located at Weil am Rhein, Germany (47.5886°N, 7.6078°E), sampled during the Swabian MOSES 2023 field campaign from June to August 2023.  
description: Instrument: Doppler lidar Leosphere WLS200s
DOI: 10.15468/dl.ku32rd
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "TaxonKey is Pimenta dioica"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006422-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uhvc4g
title: Occurrence Download

description: A dataset containing 42178 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aquila adalberti"
 ]
}

 The dataset includes 42178 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006423-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13543717
title: Peer-to-Peer Boliviano (BOB) Exchange Data