cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18164033
title: SEM Withered Plant (BSE Series) — Kikoh Matsuura (Art–Science Archive)

description: Parent (series) record for *SEM Withered Plant (BSE)* by Kikoh Matsuura.  This record serves as the hub for all child datasets in the series.

**Files included:**- A series overview (TXT) documenting scope, naming rules, citation style, and file policy- A machine-readable index (CSV) that will be updated to list child datasets (DOIs, imaging parameters, etc.)

Each child dataset contains raw, uncompressed BMP images (≈10 per set, number varies) acquired with a personally owned TECHNEX TinySEM M3-i using the BSE detector under high-vacuum conditions.  Child records provide detailed READMEs with exact parameters (accelerating voltage, working distance, vacuum, pixel size, field of view, frame time, coating).

This parent provides a stable concept DOI for the entire *SEM Withered Plant (BSE)* series.  Child datasets link back via *IsPartOf*, and this parent enumerates them via *HasPart*.  

*This series visualizes the hidden order and chance in withered plants through SEM-BSE, leaving a unique trace at the boundary between art and science.*
DOI: 10.15468/dl.5qpcbn
title: Occurrence Download

description: A dataset containing 16012314 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acacia decurrens, Acacia mearnsii, Acacia pycnantha, Acacia saligna, Mimosa distachya, Acanthus mollis, Aegilops triuncialis, Ailanthus altissima, Alnus glutinosa, Arundo donax, Asparagus officinalis, Asparagus setaceus, Bassia scoparia, Brassica tournefortii, Bromus rubens, Butomus umbellatus, Cardamine flexuosa, Centaurea melitensis, Centaurea solstitialis, Clematis vitalba, Cotula coronopifolia, Erodium cicutarium, Angophora exul, Eupatorium cannabinum, Frangula alnus, Genista monspessulana, Hedera helix, Hypericum perforatum, Imperata cylindrica, Iris pseudacorus, Lepidium latifolium, Lotus corniculatus, Luzula campestris, Lythrum salicaria, Miconia calvescens, Panicum repens, Phalaris arundinacea, Pinus pinaster, Populus alba, Psidium guajava, Ranunculus ficaria, Rhamnus alaternus, Rhamnus cathartica, Ricinus communis, Rumex obtusifolius, Sagina procumbens, Salsola tragus, Senecio vulgaris, Tamarix aphylla, Taxodium distichum, Trapa natans, Triadica sebifera, Trifolium repens, Tussilago farfara, Typha latifolia, Veronica serpyllifolia, Aralia merrillii, Ageratina adenophora, Ageratum conyzoides, Bidens pilosa, Calotropis gigantea, Cardiospermum grandiflorum, Cecropia peltata, Cenchrus ciliaris, Chromolaena odorata, Cyperus rotundus, Eucalyptus camaldulensis, Galinsoga parviflora, Inga vera, Ipomoea purpurea, Lantana camara, Launaea intybacea, Leucaena leucocephala, Lygodium microphyllum, Montia fontana, Opuntia stricta, Paspalum scrobiculatum, Microsorum scolopendria, Pittosporum viridiflorum, Pontederia crassipes, Rhizophora mangle, Rottboellia cochinchinensis, Senna siamea, Sida rhombifolia, Solanum mauritianum, Tagetes minuta, Tecomaria capensis, Tithonia diversifolia, Tridax procumbens, Vachellia drepanolobium, Setaria parviflora, Commelina benghalensis, Dalbergia sissoo, Mesosphaerum suaveolens, Melaleuca quinquenervia, Pistia stratiotes, Rhamphicarpa fistulosa, Striga hermonthica)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 16012314 records from 7995 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081372-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xjg92q
title: Occurrence Download

description: A dataset listing the 10633 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is EOD – eBird Observation Dataset"
 ]
}

 The dataset's 10633 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055636-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14264417
title: Mari4_YARD - AR Handhelds - Dataset

description: The following dataset was created during the Demonstration of TUHH handheld device on Brodosplits facilities in March 2024 during the Mari4_YARD project.A worker had the task to check the current state of a ship section that was under construction. The digital approach should be compared to the traditional, paper based one.
DOI: 10.5281/zenodo.14591363
title: Mari4_YARD - AR Handhelds - Dataset

description: The following dataset was created during the Demonstration of TUHH handheld device on Brodosplits facilities in March 2024 during the Mari4_YARD project.A worker had the task to check the current state of a ship section that was under construction. The digital approach should be compared to the traditional, paper based one.
DOI: 10.5281/zenodo.12094355
title: Drone videos and their annotations of passing sheep (for counting purpose)

description: The data below are part of the European H2020 project ICAERUS regarding the livestock monitoring use case. More information here : https://icaerus.eu/

Counting sheep is particularly challenging for farmers with hundreds of animals in a flock. Our objective is to develop methodology based on computer vision to count sheep when they are passing in a corridor to coming back in a park or a pen. This first dataset will support our work. 

The dataset encompasses 4 .MP4 videos from drone (DJI mavic 3 Enterprise or Thermal) of around 50 sheep crossing a gate. The videos were taken from 5m to 10m of height and to an horizontal distance of the gate from 0m to 10m. 

The videos come from previous datasets (https://doi.org/10.5281/zenodo.10400302) but have been modified to facilitate annotation: the duration of each video has been reduced to 30 seconds or less with 9 frames per second. Image size has been modified to 1440x1080 pixels.Annotation files are available in MOTS and YOLO formats.

This dataset encompasses the following data:-----Videos: a directory were the videos are stored (4 videos, RGB images taken from 5 or 10m of altitude; images size of 1440x1080, videos taken with DJI MAVIC3T).-------------crop_23.11.23-XX: a directory by flight containing the video of a unique flight, with the date (YY.MM.DD) and XX representing a mission number-----MOT1.1: a directory with the annotations of cows at the MOTS format-------------MOT1.1_crop_23.11.23-XX: a directory by flight containing the annotations, one annotation file referred to an unique image and have the same name except the extension-----YOLO1.1: a directory with the annotations of cows at the YOLO format-------------YOLO1.1_crop_23.11.23-XX: a directory by flight containing the annotations, one annotation file referred to an unique image and have the same name except the extension

More videos will be published in the next months.

For more information, please contact: adrien.lebreton@idele.fr 

The authors are opened to any collaborations on this topic.
DOI: 10.5281/zenodo.14591323
title: Aerial videos and images of goats (for computer vision purpose)

description: This dataset is part of the European H2020 project ICAERUS, specifically focused on the livestock monitoring use case. For more information, visit the project website: https://icaerus.eu.

Objective

Counting sheep and goats is a significant challenge for farmers managing flocks with hundreds of animals. Our objective is to develop a computer vision-based methodology to count sheep and goats as they pass through a corridor or gate. This approach utilizes low-altitude aerial videos (<15 m) recorded by drones.

Progress and Enhancements

Our ongoing efforts include:



Drone Videos and Annotations:



Annotated videos of sheep passing through gates (DOI: 10.5281/zenodo.12094356).


Model Development:



Initial models for sheep detection, available on GitHub: https://github.com/ICAERUS-EU/UC3_Livestock_Monitoring.



To improve detection models like YOLO, we are enriching the dataset with:



Images of Non-White Small Ruminants: Current models struggle with detecting sheep that are not white due to their low frequency in flocks and thus datasets. By including images of brown and dark-colored goats, we aim to enhance model performance.

Environmental Diversity: Additional images and videos are being collected under varying conditions:



Backgrounds: Concrete, asphalt, grass, dirt, etc.

Lighting Conditions: Cloudy, sunny, and shaded (e.g., barn shadows).




 

Data set description

This dataset encompasses the following data:



Pradel: a directory encompassing images and videos from a goat farm in France, Ardeche.



    Videos: a directory encompassing short drone videos (8 videos ; Drone height: ~ 15 m ; Drone gimbal angle: NADIR and Oblique, Resolution: 3840x2160, FPS: 30, brown goats, various backgrounds). The videos are orignal or were cut.

       Images_from_videos: images extracted from the videos at 5 images per seconde (1606 images)

      Other_images: other images (8 of images ;Drone height: ~ 15m ; Drone gimbal angle: NADIR Resolution: 5280x3956)



Ferme nord: a directory encompassing images and videos from a goat farm in France, nord.



      Videos: a directory encompassing short drone videos (2 videos ; Drone height: ~ 15-30 m ; Drone gimbal angle: Oblique, Resolution: 3840x2160, FPS: 30, Dark brown goats, grass backgrounds). The videos were cut.

    Images_from_videos: images extracted from the videos at 5 images per seconde (442 images)      






     Summaries of images and videos


Future Work

We are actively annotating the collected images and plan to share them upon completion. These enhancements aim to improve detection accuracy for small ruminants in diverse scenarios.

Collaboration and Contact

We welcome collaborations on this topic. For inquiries or further information, please contact:Adrien LebretonEmail: adrien.lebreton@idele.fr
DOI: 10.5281/zenodo.14591324
title: Aerial videos and images of goats (for computer vision purpose)

description: This dataset is part of the European H2020 project ICAERUS, specifically focused on the livestock monitoring use case. For more information, visit the project website: https://icaerus.eu.

Objective

Counting sheep and goats is a significant challenge for farmers managing flocks with hundreds of animals. Our objective is to develop a computer vision-based methodology to count sheep and goats as they pass through a corridor or gate. This approach utilizes low-altitude aerial videos (<15 m) recorded by drones.

Progress and Enhancements

Our ongoing efforts include:



Drone Videos and Annotations:



Annotated videos of sheep passing through gates (DOI: 10.5281/zenodo.12094356).


Model Development:



Initial models for sheep detection, available on GitHub: https://github.com/ICAERUS-EU/UC3_Livestock_Monitoring.



To improve detection models like YOLO, we are enriching the dataset with:



Images of Non-White Small Ruminants: Current models struggle with detecting sheep that are not white due to their low frequency in flocks and thus datasets. By including images of brown and dark-colored goats, we aim to enhance model performance.

Environmental Diversity: Additional images and videos are being collected under varying conditions:



Backgrounds: Concrete, asphalt, grass, dirt, etc.

Lighting Conditions: Cloudy, sunny, and shaded (e.g., barn shadows).




 

Data set description

This dataset encompasses the following data:



Pradel: a directory encompassing images and videos from a goat farm in France, Ardeche.



    Videos: a directory encompassing short drone videos (8 videos ; Drone height: ~ 15 m ; Drone gimbal angle: NADIR and Oblique, Resolution: 3840x2160, FPS: 30, brown goats, various backgrounds). The videos are orignal or were cut.

       Images_from_videos: images extracted from the videos at 5 images per seconde (1606 images)

      Other_images: other images (8 of images ;Drone height: ~ 15m ; Drone gimbal angle: NADIR Resolution: 5280x3956)



Ferme nord: a directory encompassing images and videos from a goat farm in France, nord.



      Videos: a directory encompassing short drone videos (2 videos ; Drone height: ~ 15-30 m ; Drone gimbal angle: Oblique, Resolution: 3840x2160, FPS: 30, Dark brown goats, grass backgrounds). The videos were cut.

    Images_from_videos: images extracted from the videos at 5 images per seconde (442 images)      






     Summaries of images and videos


Future Work

We are actively annotating the collected images and plan to share them upon completion. These enhancements aim to improve detection accuracy for small ruminants in diverse scenarios.

Collaboration and Contact

We welcome collaborations on this topic. For inquiries or further information, please contact:Adrien LebretonEmail: adrien.lebreton@idele.fr
DOI: 10.5281/zenodo.14562949
title: LRmeth: a logistic regression approach for inferring tissue of origin from tumor DNA methylation profiles

description: LRmeth is a novel framework to infer a tumor's tissue of origin using DNA methylation profiles. This dataset accompanies the LRmeth manuscript and contains information about the CpGs utilized in this study. All CpGs come from the Illumina 450K array, and this study largely restricted the number of CpGs to the top 1% most variable positions across 12 different tumor types. Each CpG in the spreadsheets is also annotated with the nearest gene name and genic feature. Each Excel workbook is split into "hypomethylated" and "hypermethylated" markers since this study utilized both.



high_variance_cpgs.txt -- a plain text file of the 2921 high-variance CpGs used in this study.

TCGA_healthy_markers_ALL.xlsx -- spreadsheet of healthy tissue markers using all ~290,000 CpGs.

TCGA_DMP_markers_ALL.xlsx -- spreadsheet of DMPs by tissue using all ~290,000 CpGs. 

TCGA_DMP_markers_HIGHVAR.xlsx -- spreadsheet of DMPs by tissue using the high-variance CpGs only.
DOI: 10.5281/zenodo.14562950
title: LRmeth: a logistic regression approach for inferring tissue of origin from tumor DNA methylation profiles

description: LRmeth is a novel framework to infer a tumor's tissue of origin using DNA methylation profiles. This dataset accompanies the LRmeth manuscript and contains information about the CpGs used in this study. All CpGs come from the Illumina 450K array, and this study largely restricted the number of CpGs to the top 1% most variable positions across 12 different tumor types.



DMPs.zip -- contains .tsv.gz files of the differential methylation results by tissue. Each CpG is also annotated with the nearest gene name and genic feature.

healthy_markers.zip -- contains .tsv.gz files of healthy marker CpGs by tissue. Each CpG is also annotated with the nearest gene name and genic feature.

high_variance_cpgs.txt -- a plain text file of the 2921 high-variance CpGs used in this study.
DOI: 10.5281/zenodo.14591374
title: LRmeth: a logistic regression approach for inferring tissue of origin from tumor DNA methylation profiles

description: LRmeth is a novel framework to infer a tumor's tissue of origin using DNA methylation profiles. This dataset accompanies the LRmeth manuscript and contains information about the CpGs utilized in this study. All CpGs come from the Illumina 450K array, and this study largely restricted the number of CpGs to the top 1% most variable positions across 12 different tumor types. Each CpG in the spreadsheets is also annotated with the nearest gene name and genic feature. Each Excel workbook is split into "hypomethylated" and "hypermethylated" markers since this study utilized both.



high_variance_cpgs.txt -- a plain text file of the 2921 high-variance CpGs used in this study.

TCGA_healthy_markers_ALL.xlsx -- spreadsheet of healthy tissue markers using all ~290,000 CpGs.

TCGA_DMP_markers_ALL.xlsx -- spreadsheet of DMPs by tissue using all ~290,000 CpGs. 

TCGA_DMP_markers_HIGHVAR.xlsx -- spreadsheet of DMPs by tissue using the high-variance CpGs only.
DOI: 10.15468/dl.ursstu
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material sample)",
 "Country is Peru",
 "TaxonKey is Phoneutria Perty, 1833"
 ]
}

 The dataset includes 30 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055646-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.47udsf
title: Occurrence Download

description: A dataset containing 8295 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is VNM.54_1",
 "TaxonKey is Passeriformes",
 "Year 1994-2023"
 ]
}

 The dataset includes 8295 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055647-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57841/casdc.0004487
title: 2022-2023年阿尔泰山跨境保护地土地利用改变和跨境生物入侵野外科学考察日志
DOI: 10.15468/dl.d3jprx
title: Occurrence Download

description: A dataset containing 89 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Cyphostemma bainesii (Hook.fil.) Desc."
 ]
}

 The dataset includes 89 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055649-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z434cy
title: Occurrence Download

description: A dataset containing 10272 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Beilschmiedia Nees",
 "Year 1979-2000"
 ]
}

 The dataset includes 10272 records from 156 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055648-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yhfqgh
title: Occurrence Download

description: A dataset containing 1495 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is CHN.6.6_1",
 "TaxonKey is Passeriformes",
 "Year 1994-2023"
 ]
}

 The dataset includes 1495 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055650-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57841/casdc.0004488
title: XDA24020100课题19项专利数据集
DOI: 10.15468/dl.hpjsd9
title: Occurrence Download

description: A dataset containing 293 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is CHN.18.8_1",
 "TaxonKey is Passeriformes",
 "Year 1994-2023"
 ]
}

 The dataset includes 293 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055651-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14259819
title: Mari4_YARD - Cost Effective Projection - Dataset

description: Welcome to the Pan/Tilt Projection Mechanism Demonstration Results Dataset, a unique collection of data showcasing the projection of information using a two degree of freedon mechanism based projection system. This dataset is designed to facilitate research in robotics and perception, particularly in the areas of Augmented Reality.This dataset is generated during the demonstration of the projection technology at Brodosplit and AIMEN facilities during technology demonstrations.
DOI: 10.5281/zenodo.14259818
title: Mari4_YARD - Cost Effective Projection - Dataset

description: Welcome to the Pan/Tilt Projection Mechanism Demonstration Results Dataset, a unique collection of data showcasing the projection of information using a two degree of freedon mechanism based projection system. This dataset is designed to facilitate research in robotics and perception, particularly in the areas of Augmented Reality.This dataset is generated during the demonstration of the projection technology at Brodosplit and AIMEN facilities during technology demonstrations.
DOI: 10.5281/zenodo.14591400
title: Mari4_YARD - Cost Effective Projection - Dataset

description: Welcome to the Pan/Tilt Projection Mechanism Demonstration Results Dataset, a unique collection of data showcasing the projection of information using a two degree of freedon mechanism based projection system. This dataset is designed to facilitate research in robotics and perception, particularly in the areas of Augmented Reality.This dataset is generated during the demonstration of the projection technology at Brodosplit and AIMEN facilities during technology demonstrations.
DOI: 10.15468/dl.36hqas
title: Occurrence Download

description: A dataset containing 6706 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is CHN.31.2_1",
 "TaxonKey is Passeriformes",
 "Year 1994-2023"
 ]
}

 The dataset includes 6706 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055652-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3hqzms
title: Occurrence Download

description: A dataset containing 6511688 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Thailand",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 6511688 records from 1623 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055642-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uwtaj9
title: Occurrence Download

description: A dataset containing 6239 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Dioscorea alata L."
 ]
}

 The dataset includes 6239 records from 185 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0324469-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rsvy5g
title: Occurrence Download

description: A dataset containing 185284 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Juncus inflexus L."
 ]
}

 The dataset includes 185284 records from 562 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0214143-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ucehqz
title: Occurrence Download

description: A dataset containing 3054270 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Ecuador"
 ]
}

 The dataset includes 3054270 records from 1004 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012660-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.