cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15745932
title: LunaPolaris-sequence_07

description: The LunaPolaris dataset consists of rosbag data collected with a small rover operating inside the LunaLab at the Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg. The sequences were recorded in diverse visual environments featuring various visual and geometric landmarks under different illumination conditions.

This repository is part of a multi-repository dataset, enabling users to download only the sequences of interest. Stereo calibration images for the dataset are provided in a dedicated calibration repository.

Each sequence contains stereo images, LiDAR point clouds from a solid-state LiDAR, IMU data, and ground truth pose data. The rover follows the same ~30 m trajectory in all sequences, while the surrounding environment changes. This consistent trajectory facilitates direct comparison of environmental effects on perception and mapping performance.

The table below lists the available sequences and their corresponding repositories.




Repository
DOI


Stereo Calibration Images
https://zenodo.org/records/16728838


Sequence 01
https://zenodo.org/records/15737938


Sequence 02
https://zenodo.org/records/15744408


Sequence 03
https://zenodo.org/records/15744629


Sequence 04
https://zenodo.org/records/15745640


Sequence 05
https://zenodo.org/records/15745689


Sequence 06
https://zenodo.org/records/15745828


Sequence 07
https://zenodo.org/records/15745932


Sequence 08
https://zenodo.org/records/15746302


Sequence 09
https://zenodo.org/records/15746894


Sequence 10
https://zenodo.org/records/15747096


Sequence 11
https://zenodo.org/records/15747348


Sequence 12
https://zenodo.org/records/15747458
DOI: 10.5281/zenodo.15746301
title: LunaPolaris-sequence_08

description: The LunaPolaris dataset consists of rosbag data collected with a small rover operating inside the LunaLab at the Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg. The sequences were recorded in diverse visual environments featuring various visual and geometric landmarks under different illumination conditions.

This repository is part of a multi-repository dataset, enabling users to download only the sequences of interest. Stereo calibration images for the dataset are provided in a dedicated calibration repository.

Each sequence contains stereo images, LiDAR point clouds from a solid-state LiDAR, IMU data, and ground truth pose data. The rover follows the same ~30 m trajectory in all sequences, while the surrounding environment changes. This consistent trajectory facilitates direct comparison of environmental effects on perception and mapping performance.

The table below lists the available sequences and their corresponding repositories.




Repository
DOI


Stereo Calibration Images
https://zenodo.org/records/16728838


Sequence 01
https://zenodo.org/records/15737938


Sequence 02
https://zenodo.org/records/15744408


Sequence 03
https://zenodo.org/records/15744629


Sequence 04
https://zenodo.org/records/15745640


Sequence 05
https://zenodo.org/records/15745689


Sequence 06
https://zenodo.org/records/15745828


Sequence 07
https://zenodo.org/records/15745932


Sequence 08
https://zenodo.org/records/15746302


Sequence 09
https://zenodo.org/records/15746894


Sequence 10
https://zenodo.org/records/15747096


Sequence 11
https://zenodo.org/records/15747348


Sequence 12
https://zenodo.org/records/15747458
DOI: 10.5281/zenodo.15746302
title: LunaPolaris-sequence_08

description: The LunaPolaris dataset consists of rosbag data collected with a small rover operating inside the LunaLab at the Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg. The sequences were recorded in diverse visual environments featuring various visual and geometric landmarks under different illumination conditions.

This repository is part of a multi-repository dataset, enabling users to download only the sequences of interest. Stereo calibration images for the dataset are provided in a dedicated calibration repository.

Each sequence contains stereo images, LiDAR point clouds from a solid-state LiDAR, IMU data, and ground truth pose data. The rover follows the same ~30 m trajectory in all sequences, while the surrounding environment changes. This consistent trajectory facilitates direct comparison of environmental effects on perception and mapping performance.

The table below lists the available sequences and their corresponding repositories.




Repository
DOI


Stereo Calibration Images
https://zenodo.org/records/16728838


Sequence 01
https://zenodo.org/records/15737938


Sequence 02
https://zenodo.org/records/15744408


Sequence 03
https://zenodo.org/records/15744629


Sequence 04
https://zenodo.org/records/15745640


Sequence 05
https://zenodo.org/records/15745689


Sequence 06
https://zenodo.org/records/15745828


Sequence 07
https://zenodo.org/records/15745932


Sequence 08
https://zenodo.org/records/15746302


Sequence 09
https://zenodo.org/records/15746894


Sequence 10
https://zenodo.org/records/15747096


Sequence 11
https://zenodo.org/records/15747348


Sequence 12
https://zenodo.org/records/15747458
DOI: 10.5281/zenodo.15746893
title: LunaPolaris-sequence_09

description: The LunaPolaris dataset consists of rosbag data collected with a small rover operating inside the LunaLab at the Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg. The sequences were recorded in diverse visual environments featuring various visual and geometric landmarks under different illumination conditions.

This repository is part of a multi-repository dataset, enabling users to download only the sequences of interest. Stereo calibration images for the dataset are provided in a dedicated calibration repository.

Each sequence contains stereo images, LiDAR point clouds from a solid-state LiDAR, IMU data, and ground truth pose data. The rover follows the same ~30 m trajectory in all sequences, while the surrounding environment changes. This consistent trajectory facilitates direct comparison of environmental effects on perception and mapping performance.

The table below lists the available sequences and their corresponding repositories.




Repository
DOI


Stereo Calibration Images
https://zenodo.org/records/16728838


Sequence 01
https://zenodo.org/records/15737938


Sequence 02
https://zenodo.org/records/15744408


Sequence 03
https://zenodo.org/records/15744629


Sequence 04
https://zenodo.org/records/15745640


Sequence 05
https://zenodo.org/records/15745689


Sequence 06
https://zenodo.org/records/15745828


Sequence 07
https://zenodo.org/records/15745932


Sequence 08
https://zenodo.org/records/15746302


Sequence 09
https://zenodo.org/records/15746894


Sequence 10
https://zenodo.org/records/15747096


Sequence 11
https://zenodo.org/records/15747348


Sequence 12
https://zenodo.org/records/15747458
DOI: 10.5281/zenodo.15746894
title: LunaPolaris-sequence_09

description: The LunaPolaris dataset consists of rosbag data collected with a small rover operating inside the LunaLab at the Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg. The sequences were recorded in diverse visual environments featuring various visual and geometric landmarks under different illumination conditions.

This repository is part of a multi-repository dataset, enabling users to download only the sequences of interest. Stereo calibration images for the dataset are provided in a dedicated calibration repository.

Each sequence contains stereo images, LiDAR point clouds from a solid-state LiDAR, IMU data, and ground truth pose data. The rover follows the same ~30 m trajectory in all sequences, while the surrounding environment changes. This consistent trajectory facilitates direct comparison of environmental effects on perception and mapping performance.

The table below lists the available sequences and their corresponding repositories.




Repository
DOI


Stereo Calibration Images
https://zenodo.org/records/16728838


Sequence 01
https://zenodo.org/records/15737938


Sequence 02
https://zenodo.org/records/15744408


Sequence 03
https://zenodo.org/records/15744629


Sequence 04
https://zenodo.org/records/15745640


Sequence 05
https://zenodo.org/records/15745689


Sequence 06
https://zenodo.org/records/15745828


Sequence 07
https://zenodo.org/records/15745932


Sequence 08
https://zenodo.org/records/15746302


Sequence 09
https://zenodo.org/records/15746894


Sequence 10
https://zenodo.org/records/15747096


Sequence 11
https://zenodo.org/records/15747348


Sequence 12
https://zenodo.org/records/15747458
DOI: 10.5281/zenodo.15747096
title: LunaPolaris-sequence_10

description: The LunaPolaris dataset consists of rosbag data collected with a small rover operating inside the LunaLab at the Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg. The sequences were recorded in diverse visual environments featuring various visual and geometric landmarks under different illumination conditions.

This repository is part of a multi-repository dataset, enabling users to download only the sequences of interest. Stereo calibration images for the dataset are provided in a dedicated calibration repository.

Each sequence contains stereo images, LiDAR point clouds from a solid-state LiDAR, IMU data, and ground truth pose data. The rover follows the same ~30 m trajectory in all sequences, while the surrounding environment changes. This consistent trajectory facilitates direct comparison of environmental effects on perception and mapping performance.

The table below lists the available sequences and their corresponding repositories.




Repository
DOI


Stereo Calibration Images
https://zenodo.org/records/16728838


Sequence 01
https://zenodo.org/records/15737938


Sequence 02
https://zenodo.org/records/15744408


Sequence 03
https://zenodo.org/records/15744629


Sequence 04
https://zenodo.org/records/15745640


Sequence 05
https://zenodo.org/records/15745689


Sequence 06
https://zenodo.org/records/15745828


Sequence 07
https://zenodo.org/records/15745932


Sequence 08
https://zenodo.org/records/15746302


Sequence 09
https://zenodo.org/records/15746894


Sequence 10
https://zenodo.org/records/15747096


Sequence 11
https://zenodo.org/records/15747348


Sequence 12
https://zenodo.org/records/15747458
DOI: 10.5281/zenodo.15747095
title: LunaPolaris-sequence_10

description: The LunaPolaris dataset consists of rosbag data collected with a small rover operating inside the LunaLab at the Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg. The sequences were recorded in diverse visual environments featuring various visual and geometric landmarks under different illumination conditions.

This repository is part of a multi-repository dataset, enabling users to download only the sequences of interest. Stereo calibration images for the dataset are provided in a dedicated calibration repository.

Each sequence contains stereo images, LiDAR point clouds from a solid-state LiDAR, IMU data, and ground truth pose data. The rover follows the same ~30 m trajectory in all sequences, while the surrounding environment changes. This consistent trajectory facilitates direct comparison of environmental effects on perception and mapping performance.

The table below lists the available sequences and their corresponding repositories.




Repository
DOI


Stereo Calibration Images
https://zenodo.org/records/16728838


Sequence 01
https://zenodo.org/records/15737938


Sequence 02
https://zenodo.org/records/15744408


Sequence 03
https://zenodo.org/records/15744629


Sequence 04
https://zenodo.org/records/15745640


Sequence 05
https://zenodo.org/records/15745689


Sequence 06
https://zenodo.org/records/15745828


Sequence 07
https://zenodo.org/records/15745932


Sequence 08
https://zenodo.org/records/15746302


Sequence 09
https://zenodo.org/records/15746894


Sequence 10
https://zenodo.org/records/15747096


Sequence 11
https://zenodo.org/records/15747348


Sequence 12
https://zenodo.org/records/15747458
DOI: 10.5281/zenodo.15747348
title: LunaPolaris-sequence_11

description: The LunaPolaris dataset consists of rosbag data collected with a small rover operating inside the LunaLab at the Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg. The sequences were recorded in diverse visual environments featuring various visual and geometric landmarks under different illumination conditions.

This repository is part of a multi-repository dataset, enabling users to download only the sequences of interest. Stereo calibration images for the dataset are provided in a dedicated calibration repository.

Each sequence contains stereo images, LiDAR point clouds from a solid-state LiDAR, IMU data, and ground truth pose data. The rover follows the same ~30 m trajectory in all sequences, while the surrounding environment changes. This consistent trajectory facilitates direct comparison of environmental effects on perception and mapping performance.

The table below lists the available sequences and their corresponding repositories.




Repository
DOI


Stereo Calibration Images
https://zenodo.org/records/16728838


Sequence 01
https://zenodo.org/records/15737938


Sequence 02
https://zenodo.org/records/15744408


Sequence 03
https://zenodo.org/records/15744629


Sequence 04
https://zenodo.org/records/15745640


Sequence 05
https://zenodo.org/records/15745689


Sequence 06
https://zenodo.org/records/15745828


Sequence 07
https://zenodo.org/records/15745932


Sequence 08
https://zenodo.org/records/15746302


Sequence 09
https://zenodo.org/records/15746894


Sequence 10
https://zenodo.org/records/15747096


Sequence 11
https://zenodo.org/records/15747348


Sequence 12
https://zenodo.org/records/15747458
DOI: 10.15468/dl.cytp5a
title: Occurrence Download

description: A dataset containing 445 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Brickellia diffusa"
 ]
}

 The dataset includes 445 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038672-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15747458
title: LunaPolaris-sequence_12

description: The LunaPolaris dataset consists of rosbag data collected with a small rover operating inside the LunaLab at the Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg. The sequences were recorded in diverse visual environments featuring various visual and geometric landmarks under different illumination conditions.

This repository is part of a multi-repository dataset, enabling users to download only the sequences of interest. Stereo calibration images for the dataset are provided in a dedicated calibration repository.

Each sequence contains stereo images, LiDAR point clouds from a solid-state LiDAR, IMU data, and ground truth pose data. The rover follows the same ~30 m trajectory in all sequences, while the surrounding environment changes. This consistent trajectory facilitates direct comparison of environmental effects on perception and mapping performance.

The table below lists the available sequences and their corresponding repositories.




Repository
DOI


Stereo Calibration Images
https://zenodo.org/records/16728838


Sequence 01
https://zenodo.org/records/15737938


Sequence 02
https://zenodo.org/records/15744408


Sequence 03
https://zenodo.org/records/15744629


Sequence 04
https://zenodo.org/records/15745640


Sequence 05
https://zenodo.org/records/15745689


Sequence 06
https://zenodo.org/records/15745828


Sequence 07
https://zenodo.org/records/15745932


Sequence 08
https://zenodo.org/records/15746302


Sequence 09
https://zenodo.org/records/15746894


Sequence 10
https://zenodo.org/records/15747096


Sequence 11
https://zenodo.org/records/15747348


Sequence 12
https://zenodo.org/records/15747458




                                                                                                                                                                                                                         |
DOI: 10.5281/zenodo.15747457
title: LunaPolaris-sequence_12

description: The LunaPolaris dataset consists of rosbag data collected with a small rover operating inside the LunaLab at the Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg. The sequences were recorded in diverse visual environments featuring various visual and geometric landmarks under different illumination conditions.

This repository is part of a multi-repository dataset, enabling users to download only the sequences of interest. Stereo calibration images for the dataset are provided in a dedicated calibration repository.

Each sequence contains stereo images, LiDAR point clouds from a solid-state LiDAR, IMU data, and ground truth pose data. The rover follows the same ~30 m trajectory in all sequences, while the surrounding environment changes. This consistent trajectory facilitates direct comparison of environmental effects on perception and mapping performance.

The table below lists the available sequences and their corresponding repositories.




Repository
DOI


Stereo Calibration Images
https://zenodo.org/records/16728838


Sequence 01
https://zenodo.org/records/15737938


Sequence 02
https://zenodo.org/records/15744408


Sequence 03
https://zenodo.org/records/15744629


Sequence 04
https://zenodo.org/records/15745640


Sequence 05
https://zenodo.org/records/15745689


Sequence 06
https://zenodo.org/records/15745828


Sequence 07
https://zenodo.org/records/15745932


Sequence 08
https://zenodo.org/records/15746302


Sequence 09
https://zenodo.org/records/15746894


Sequence 10
https://zenodo.org/records/15747096


Sequence 11
https://zenodo.org/records/15747348


Sequence 12
https://zenodo.org/records/15747458




                                                                                                                                                                                                                         |
DOI: 10.5281/zenodo.15747347
title: LunaPolaris-sequence_11

description: The LunaPolaris dataset consists of rosbag data collected with a small rover operating inside the LunaLab at the Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg. The sequences were recorded in diverse visual environments featuring various visual and geometric landmarks under different illumination conditions.

This repository is part of a multi-repository dataset, enabling users to download only the sequences of interest. Stereo calibration images for the dataset are provided in a dedicated calibration repository.

Each sequence contains stereo images, LiDAR point clouds from a solid-state LiDAR, IMU data, and ground truth pose data. The rover follows the same ~30 m trajectory in all sequences, while the surrounding environment changes. This consistent trajectory facilitates direct comparison of environmental effects on perception and mapping performance.

The table below lists the available sequences and their corresponding repositories.




Repository
DOI


Stereo Calibration Images
https://zenodo.org/records/16728838


Sequence 01
https://zenodo.org/records/15737938


Sequence 02
https://zenodo.org/records/15744408


Sequence 03
https://zenodo.org/records/15744629


Sequence 04
https://zenodo.org/records/15745640


Sequence 05
https://zenodo.org/records/15745689


Sequence 06
https://zenodo.org/records/15745828


Sequence 07
https://zenodo.org/records/15745932


Sequence 08
https://zenodo.org/records/15746302


Sequence 09
https://zenodo.org/records/15746894


Sequence 10
https://zenodo.org/records/15747096


Sequence 11
https://zenodo.org/records/15747348


Sequence 12
https://zenodo.org/records/15747458
DOI: 10.5281/zenodo.17161554
title: Probiotic bacteria impact on greenhouse gas and odor emissions during dairy manure digestion by black soldier fly (Hermetia illucens, Diptera: Stratiomyidae) larvae at an industrial scale

description: Unprocessed animal manure is a source of greenhouse gases (GHGs) and malodorous volatile organic compounds (VOCs), which reduce air quality. Hermetia illucens, (L.) (Diptera: Stratiomyidae), commonly known as the black soldier fly (BSF), has gained attention for the ability of its larvae to reduce these compounds emitted from several types of animal manure. Microbial amendment of manure can accelerate digestion of these lignocellulose-rich substrates, increasing nutrient availability for BSF larvae (BSFL). In a study consisting of two trials, we tested whether amending dairy manure with the probiotic bacteria Paenibacillus polymyxa, Rhodococcus rhodochrous 21198, or their combination, influences the ability of BSFL to reduce the emission of GHGs and malodorous VOCs at an industrial scale. Emissions of carbon dioxide and methane varied significantly across the two trials, while sampling day only affected methane production. Bacterial treatments tended to release higher levels of carbon dioxide and methane compared to non-amended dairy manure; however, these differences were not significant. Trial and sampling day significantly affected the blends of VOCs emitted. Among the VOCs tentatively identified, several are known to be malodorous and a few are related to BSFL digestion of organic waste. A few VOCs were emitted in higher abundances from bacterial treatments (especially P. polymyxa and combination) compared to control manure. Further studies are required to characterize the contributions of the initial microbial communities of dairy manure and their interactions with probiotic amendments during BSFL digestion and the resulting impacts on GHG and malodorous VOC emissions.
DOI: 10.5281/zenodo.17161555
title: Probiotic bacteria impact on greenhouse gas and odor emissions during dairy manure digestion by black soldier fly (Hermetia illucens, Diptera: Stratiomyidae) larvae at an industrial scale

description: Unprocessed animal manure is a source of greenhouse gases (GHGs) and malodorous volatile organic compounds (VOCs), which reduce air quality. Hermetia illucens, (L.) (Diptera: Stratiomyidae), commonly known as the black soldier fly (BSF), has gained attention for the ability of its larvae to reduce these compounds emitted from several types of animal manure. Microbial amendment of manure can accelerate digestion of these lignocellulose-rich substrates, increasing nutrient availability for BSF larvae (BSFL). In a study consisting of two trials, we tested whether amending dairy manure with the probiotic bacteria Paenibacillus polymyxa, Rhodococcus rhodochrous 21198, or their combination, influences the ability of BSFL to reduce the emission of GHGs and malodorous VOCs at an industrial scale. Emissions of carbon dioxide and methane varied significantly across the two trials, while sampling day only affected methane production. Bacterial treatments tended to release higher levels of carbon dioxide and methane compared to non-amended dairy manure; however, these differences were not significant. Trial and sampling day significantly affected the blends of VOCs emitted. Among the VOCs tentatively identified, several are known to be malodorous and a few are related to BSFL digestion of organic waste. A few VOCs were emitted in higher abundances from bacterial treatments (especially P. polymyxa and combination) compared to control manure. Further studies are required to characterize the contributions of the initial microbial communities of dairy manure and their interactions with probiotic amendments during BSFL digestion and the resulting impacts on GHG and malodorous VOC emissions.
DOI: 10.34740/kaggle/dsv/13436816
title: Peer-to-Peer Boliviano (BOB) Exchange Data