cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8436444
title: "Orthophoto & DEM (MNE) issues d'images de drone, Maloudja, Comores - 20230628"

description: "Ce jeu de données présente les résultats des traitements photogrammétriques d'images de drone acquises sur le site de Maloudja, Grande Comore, Comores à la date suivante : 20230628.
Les traitements ont été réalisés avec le logiciel OpenDroneMap à partir des images brutes fournies dans la première version de ce DOI.
Les vols ont été réalisés en partenariat avec la DGSC (Direction Générale de la Sécurité Civile, Comores) dans le but de créer des modèles numériques d'élévations pour cartographier les risques naturels d'inondations ou de submersion marine.
Le paramétrage du logiciel OpenDroneMap est partagé pour permettre la reproductibilité ou l'amélioration des traitements proposés:
[
        {
            'name': 'orthophoto-resolution',
            'value': 1
        },
        {
            'name': 'auto-boundary',
            'value': true
        },
        {
            'name': 'dem-resolution',
            'value': '2.0'
        },
        {
            'name': 'dsm',
            'value': true
        }
    ]

Le dépôt est composé des éléments suivants:
    - 00_: Planche d'aperçu des images
    - 000_photogrammetry_report.pdf: rapport issu du traitement OpenDroneMap
    - DCIM.zip: Images brutes issues du drone
    - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d'attribut en base64
    - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.
    - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...

Arborescence d'origine:
└─ 20230628_COM-maloudja_UAV-02_2
  └─ DCIM
  └─ GPS
  └─ METADATA
    └─ tb
  └─ PROCESSED_DATA


Informations de survol:
- Camera model and parameters:
 Make: Hasselblad
 Model: L1D-20c
 Width: 5472
 Height: 3648
 Focal: 28
 WhiteBalance: Manual
 ExposureMode: Auto Exposure
 ColoSpace: sRGB
 EV: -0.7
 MeteringMode: CenterWeightedAverage
 Camera Pitch: -90.00

- Survey informations:
 No Images: 147
 Median height: 120 meters
 Survey area: 24.07 hectares
 Survey from: 2023:06:28 17:55:53 to: 2023:06:28 18:07:38

Les dépôts suivants comprennent les données traitées avec OpenDroneMap"
description: This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI
DOI: 10.5281/zenodo.8436445
title: Images drone UAV, Maloudja, Comores - 20230628

description: "Jeu de données composé d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Maloudja, Grande Comore, Comores à la date suivante : 20230628.
Les vols ont été réalisés en partenariat avec la DGSC (Direction Générale de la Sécurité Civile, Comores) dans le but de créer des modèles numériques d'élévations pour cartographier les risques naturels d'inondations ou de submersion marine.

Le dépôt est composé des éléments suivants:
    - 00_: Planche d'aperçu des images
    - DCIM.zip: Images brutes issues du drone
    - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d'attribut en base64
    - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.

Arborescence d'origine:
└─ 20230628_COM-maloudja_UAV-02_2
  └─ DCIM
  └─ GPS
  └─ METADATA
    └─ tb

Informations de survol:
- Camera model and parameters:
 Make: Hasselblad
 Model: L1D-20c
 Width: 5472
 Height: 3648
 Focal: 28
 WhiteBalance: Manual
 ExposureMode: Auto Exposure
 ColoSpace: sRGB
 EV: -0.7
 MeteringMode: CenterWeightedAverage
 Camera Pitch: -90.00

- Survey informations:
 No Images: 147
 Median height: 120 meters
 Survey area: 24.07 hectares
 Survey from: 2023:06:28 17:55:53 to: 2023:06:28 18:07:38

Les dépôts suivants comprennent les données traitées avec OpenDroneMap"
description: This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI
DOI: 10.5281/zenodo.8436964
title: "Orthophoto & DEM (MNE) issues d'images de drone, Maloudja, Comores - 20230628"

description: "Ce jeu de données présente les résultats des traitements photogrammétriques d'images de drone acquises sur le site de Maloudja, Grande Comore, Comores à la date suivante : 20230628.
Les traitements ont été réalisés avec le logiciel OpenDroneMap à partir des images brutes fournies dans la première version de ce DOI.
Les vols ont été réalisés en partenariat avec la DGSC (Direction Générale de la Sécurité Civile, Comores) dans le but de créer des modèles numériques d'élévations pour cartographier les risques naturels d'inondations ou de submersion marine.
Le paramétrage du logiciel OpenDroneMap est partagé pour permettre la reproductibilité ou l'amélioration des traitements proposés:
[
        {
            'name': 'orthophoto-resolution',
            'value': 1
        },
        {
            'name': 'auto-boundary',
            'value': true
        },
        {
            'name': 'dem-resolution',
            'value': '2.0'
        },
        {
            'name': 'dsm',
            'value': true
        }
    ]

Le dépôt est composé des éléments suivants:
    - 00_: Planche d'aperçu des images
    - 000_photogrammetry_report.pdf: rapport issu du traitement OpenDroneMap
    - DCIM.zip: Images brutes issues du drone
    - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d'attribut en base64
    - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.
    - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...

Arborescence d'origine:
└─ 20230628_COM-maloudja_UAV-02_2
  └─ DCIM
  └─ GPS
  └─ METADATA
    └─ tb
  └─ PROCESSED_DATA


Informations de survol:
- Camera model and parameters:
 Make: Hasselblad
 Model: L1D-20c
 Width: 5472
 Height: 3648
 Focal: 28
 WhiteBalance: Manual
 ExposureMode: Auto Exposure
 ColoSpace: sRGB
 EV: -0.7
 MeteringMode: CenterWeightedAverage
 Camera Pitch: -90.00

- Survey informations:
 No Images: 147
 Median height: 120 meters
 Survey area: 24.07 hectares
 Survey from: 2023:06:28 17:55:53 to: 2023:06:28 18:07:38

Les dépôts suivants comprennent les données traitées avec OpenDroneMap"
description: This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI
DOI: 10.5281/zenodo.8436452
title: "Orthophoto & DEM (MNE) issues d'images de drone, Mitsamiouli, Comores - 20230626"

description: "Ce jeu de données présente les résultats des traitements photogrammétriques d'images de drone acquises sur le site de Mitsamiouli, Grande Comore, Comores à la date suivante : 20230626.
Les traitements ont été réalisés avec le logiciel OpenDroneMap à partir des images brutes fournies dans la première version de ce DOI.
Les vols ont été réalisés en partenariat avec la DGSC (Direction Générale de la Sécurité Civile, Comores) dans le but de créer des modèles numériques d'élévations pour cartographier les risques naturels d'inondations ou de submersion marine.
Le paramétrage du logiciel OpenDroneMap est partagé pour permettre la reproductibilité ou l'amélioration des traitements proposés:
[
        {
            'name': 'orthophoto-resolution',
            'value': 1
        },
        {
            'name': 'auto-boundary',
            'value': true
        },
        {
            'name': 'dem-resolution',
            'value': '2.0'
        },
        {
            'name': 'dsm',
            'value': true
        }
    ]

Le dépôt est composé des éléments suivants:
    - 00_: Planche d'aperçu des images
    - 000_photogrammetry_report.pdf: rapport issu du traitement OpenDroneMap
    - DCIM.zip: Images brutes issues du drone
    - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d'attribut en base64
    - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.
    - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...

Arborescence d'origine:
└─ 20230626_COM-mitsamiouli_UAV-01_2
  └─ DCIM
  └─ GPS
  └─ METADATA
    └─ tb
  └─ PROCESSED_DATA


Informations de survol:
- Camera model and parameters:
 Make: Hasselblad
 Model: L1D-20c
 Width: 5472
 Height: 3648
 Focal: 28
 WhiteBalance: Auto
 ExposureMode: Auto Exposure
 ColoSpace: sRGB
 EV: -0.7
 MeteringMode: CenterWeightedAverage
 Camera Pitch: -90.00

- Survey informations:
 No Images: 255
 Median height: 120 meters
 Survey area: 30.56 hectares
 Survey from: 2023:06:27 12:30:25 to: 2023:06:27 12:44:19

Les dépôts suivants comprennent les données traitées avec OpenDroneMap"
description: This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI
DOI: 10.5281/zenodo.8436453
title: Images drone UAV, Mitsamiouli, Comores - 20230626

description: "Jeu de données composé d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Mitsamiouli, Grande Comore, Comores à la date suivante : 20230626.
Les vols ont été réalisés en partenariat avec la DGSC (Direction Générale de la Sécurité Civile, Comores) dans le but de créer des modèles numériques d'élévations pour cartographier les risques naturels d'inondations ou de submersion marine.

Le dépôt est composé des éléments suivants:
    - 00_: Planche d'aperçu des images
    - DCIM.zip: Images brutes issues du drone
    - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d'attribut en base64
    - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.

Arborescence d'origine:
└─ 20230626_COM-mitsamiouli_UAV-01_2
  └─ DCIM
  └─ GPS
  └─ METADATA
    └─ tb

Informations de survol:
- Camera model and parameters:
 Make: Hasselblad
 Model: L1D-20c
 Width: 5472
 Height: 3648
 Focal: 28
 WhiteBalance: Auto
 ExposureMode: Auto Exposure
 ColoSpace: sRGB
 EV: -0.7
 MeteringMode: CenterWeightedAverage
 Camera Pitch: -90.00

- Survey informations:
 No Images: 255
 Median height: 120 meters
 Survey area: 30.56 hectares
 Survey from: 2023:06:27 12:30:25 to: 2023:06:27 12:44:19

Les dépôts suivants comprennent les données traitées avec OpenDroneMap"
description: This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI
DOI: 10.5281/zenodo.8436965
title: "Orthophoto & DEM (MNE) issues d'images de drone, Mitsamiouli, Comores - 20230626"

description: "Ce jeu de données présente les résultats des traitements photogrammétriques d'images de drone acquises sur le site de Mitsamiouli, Grande Comore, Comores à la date suivante : 20230626.
Les traitements ont été réalisés avec le logiciel OpenDroneMap à partir des images brutes fournies dans la première version de ce DOI.
Les vols ont été réalisés en partenariat avec la DGSC (Direction Générale de la Sécurité Civile, Comores) dans le but de créer des modèles numériques d'élévations pour cartographier les risques naturels d'inondations ou de submersion marine.
Le paramétrage du logiciel OpenDroneMap est partagé pour permettre la reproductibilité ou l'amélioration des traitements proposés:
[
        {
            'name': 'orthophoto-resolution',
            'value': 1
        },
        {
            'name': 'auto-boundary',
            'value': true
        },
        {
            'name': 'dem-resolution',
            'value': '2.0'
        },
        {
            'name': 'dsm',
            'value': true
        }
    ]

Le dépôt est composé des éléments suivants:
    - 00_: Planche d'aperçu des images
    - 000_photogrammetry_report.pdf: rapport issu du traitement OpenDroneMap
    - DCIM.zip: Images brutes issues du drone
    - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d'attribut en base64
    - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.
    - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...

Arborescence d'origine:
└─ 20230626_COM-mitsamiouli_UAV-01_2
  └─ DCIM
  └─ GPS
  └─ METADATA
    └─ tb
  └─ PROCESSED_DATA


Informations de survol:
- Camera model and parameters:
 Make: Hasselblad
 Model: L1D-20c
 Width: 5472
 Height: 3648
 Focal: 28
 WhiteBalance: Auto
 ExposureMode: Auto Exposure
 ColoSpace: sRGB
 EV: -0.7
 MeteringMode: CenterWeightedAverage
 Camera Pitch: -90.00

- Survey informations:
 No Images: 255
 Median height: 120 meters
 Survey area: 30.56 hectares
 Survey from: 2023:06:27 12:30:25 to: 2023:06:27 12:44:19

Les dépôts suivants comprennent les données traitées avec OpenDroneMap"
description: This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI
DOI: 10.5281/zenodo.10244859
title: Gagnasett: Útbreiðsla hæruburstar Campylopus introflexus (Hedw.) Brid. á Íslandi – fyrsti áfangi.

description: This is the data collected in 2023 during the research on the distribution of Campylopus introflexus in geothermal areas in Iceland.
DOI: 10.5281/zenodo.10244860
title: Gagnasett: Útbreiðsla hæruburstar Campylopus introflexus (Hedw.) Brid. á Íslandi – fyrsti áfangi.

description: This is the data collected in 2023 during the research on the distribution of Campylopus introflexus in geothermal areas in Iceland.
DOI: 10.5281/zenodo.10245523
title: Leveraging Machine Learning for Size and Shape Analysis of Nanoparticles: A Shortcut to Electron Microscopy
DOI: 10.5281/zenodo.10245524
title: Leveraging Machine Learning for Size and Shape Analysis of Nanoparticles: A Shortcut to Electron Microscopy
DOI: 10.6084/m9.figshare.24711468
title: <b>Supplementary of Combining geological and historical archives to reconstruct flood variability</b><b>in northwestern Italy</b><b>during the last thousand years</b>

description: Supplementary material of: "Combining geological and historical archives to reconstruct flood variability in northwestern Italy during the last thousand years"<br><br>Abstract of the paper<br>Understanding Earth’s changing climate is a crucial challenge. However, the available time series ofdirect measurementsare often insufficient to fully capture climatic process that unfolds over centuries and millennia. Combining History and Geology can fill this gap. Focusing on rainfall and flood events, this research proposes a multidisciplinary approach to integrate the sedimentary and meteorological records of the Magra River (Northern Italy), using historical data as a bridge between the two datasets. A pristine record of shallow-water shelf sediments, collected at the mouth of the river and covering the last thousand years, is analysed interpreting sand layers as flood events. The results are compared with a coherent historical record of floods and river activity spanning six centuries and instrumental measurements spanning two centuries. The geological data are reasonably consistent with rainfall data and historical records, testifying for the reliability of the river mouth sedimentary record as a proxy for river discharge. The complete dataset and the comparison with other basin of the northwestern Mediterranean indicate common floods during the second half of the XII, XIV, XVIand XVIIIcenturies, and at the beginning of the second half of the XXcentury, all periods characterised by predominantly negative phases of the North Atlantic Oscillation.
DOI: 10.6084/m9.figshare.20510508
title: Adoption of new technologies in pre-service teachers. The case of interaction-enhancing videos. In Teaching and Teacher Education.

description: The attachments refer to the article "Adoption of new technologies in pre-service teachers. The case of interaction-enhancing videos<b><i>.</i></b>".There are five files:a) the questionnaire used for data collectionb) the data collected / datasetc) an example of an impulse video with teaching materiald) the grid used during the seminar to evaluate the impulse videose) the DigiKompP descriptor used in the analysis
DOI: 10.5281/zenodo.10245714
title: PEDs research database

description: The accumulation of data is pivotal in constructing an all-encompassing analysis of Positive Energy Districts (PEDs), facilitating a thorough examination of their functionality and impact within urban environments. This collected information serves as the cornerstone for developing an intricate design methodology tailored specifically for PEDs. By delving deep into this data, our aim is to unearth invaluable insights crucial for formulating a methodology that not only optimizes the performance of PEDs but also paves the way for sustainable and energy-efficient urban development strategies.
DOI: 10.5281/zenodo.10245713
title: PEDs research database

description: The accumulation of data is pivotal in constructing an all-encompassing analysis of Positive Energy Districts (PEDs), facilitating a thorough examination of their functionality and impact within urban environments. This collected information serves as the cornerstone for developing an intricate design methodology tailored specifically for PEDs. By delving deep into this data, our aim is to unearth invaluable insights crucial for formulating a methodology that not only optimizes the performance of PEDs but also paves the way for sustainable and energy-efficient urban development strategies.
DOI: 10.6084/m9.figshare.24631191.v1
title: Muscle length project

description: The aim of this project was to investigate whether whether alterations in muscle length could alter the common synaptic oscillations to spinal motor neurons, particularly in the tremor band (5-15 Hz). To achieve this, we decomposed motor unit spike trains from high-density surface electromyograms recorded from a leg muscle (tibialis anterior; TA) at two different muscle lengths using this algorithm. To interpret the results derived from the motor unit spike trains, we conducted a second set of experiments, combined with computational simulations, to investigate how changes in muscle length affected the low-pass characteristics of the TA twitches.For further details, please refers to the <b>READ ME</b> file.
DOI: 10.6084/m9.figshare.21334395
title: Avulsion distribution on rivers in the Himalayan foreland region

description: Despite recent advances, we still do not have a synoptic dataset on river avulsion across a mountain foreland belt. Here we report a novel account of chronological avulsion records (for the period 1990–2019) across the Himalayan foreland region (HFR), one of the largest and most avulsion-hit areas in the world. The chronological records discerned river avulsion frequency and distribution across HFR. We identified the eastern Brahmaputra plains as amongst the most avulsion-affected areas in HFR. As many as 19 tributaries across HFR have recorded ≥ 6 avulsion events. Most of these avulsion-affected rivers are smaller, with hilly catchments &lt; 500 km<sup>2</sup>. These avulsions often occurred near the proximity of the Himalayan front. Transitional reaches (and adjacent braided/meandering sections) of the tributaries have experienced higher avulsions. Observation suggests that the 1950 Assam earthquake, non-incised channels, and rapid transition in tributaries’ morphologies are decisive in the region’s frequency and distribution of river avulsions.
DOI: 10.6084/m9.figshare.21334395.v1
title: Avulsion distribution on rivers in the Himalayan foreland region

description: Despite recent advances, we still do not have a synoptic dataset on river avulsion across a mountain foreland belt. Here we report a novel account of chronological avulsion records (for the period 1990–2019) across the Himalayan foreland region (HFR), one of the largest and most avulsion-hit areas in the world. The chronological records discerned river avulsion frequency and distribution across HFR. We identified the eastern Brahmaputra plains as amongst the most avulsion-affected areas in HFR. As many as 19 tributaries across HFR have recorded ≥ 6 avulsion events. Most of these avulsion-affected rivers are smaller, with hilly catchments &lt; 500 km<sup>2</sup>. These avulsions often occurred near the proximity of the Himalayan front. Transitional reaches (and adjacent braided/meandering sections) of the tributaries have experienced higher avulsions. Observation suggests that the 1950 Assam earthquake, non-incised channels, and rapid transition in tributaries’ morphologies are decisive in the region’s frequency and distribution of river avulsions.
DOI: 10.25345/c5p26qf1p
title: MassIVE MSV000093548 - Micromonospora dif salinities prueba
title: Extracts of various micromonospora in A1 medium at different salinities
DOI: 10.34740/kaggle/dsv/7098343
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.6462830
title: EWINA_SP: Ecological profile of earthworm species found in North America

description: This is a list of the earthworm species known in North America (Mexico, USA, Canada) before 2021, together with their ecological profile: geographical range, diet, and reproduction type.


There are two files:



	
EWINA_SP.csv: the dataset itself (308 species)
	
EWINA_SP_variables.csv : a file that explains the variables in the dataset
DOI: 10.5281/zenodo.6462831
title: EWINA_SP: Ecological profile of earthworm species found in North America

description: This is a list of the earthworm species known in North America (Mexico, USA, Canada) before 2021, together with their ecological profile: geographical range, diet, and reproduction type.


There are two files:



	
EWINA_SP.csv: the dataset itself (308 species)
	
EWINA_SP_variables.csv : a file that explains the variables in the dataset
DOI: 10.5281/zenodo.10245735
title: MKP3HTO.Rds
DOI: 10.5281/zenodo.10245736
title: MKP3HTO.Rds
DOI: 10.5281/zenodo.8424684
title: Assessing Environmental Exposure to Viruses in Wastewater Treatment Plant and Swine Farm Scenarios with Next-generation Sequencing and Occupational Risk Approaches

description: Target enrichment sequencing of aerosol and surface samples collected from wastewater treatment plant (WWTP) and swine farm scenarios.
DOI: 10.5281/zenodo.8424685
title: Assessing Environmental Exposure to Viruses in Wastewater Treatment Plant and Swine Farm Scenarios with Next-generation Sequencing and Occupational Risk Approaches

description: Target enrichment sequencing of aerosol and surface samples collected from wastewater treatment plant (WWTP) and swine farm scenarios.
DOI: 10.5281/zenodo.10245385
title: Distributed Multi-objective Optimization in Cyber-Physical Energy Systems

description: The data includes results for a distributed multi-objective optimization in Cyber-Physical Energy Systems. The respective implementation for the scenarios can be found here: https://github.com/Digitalized-Energy-Systems/MOO-CPES/releases/tag/Distributed_Multi-objective_Optimization_in_Cyber-Physical_Energy_SystemsIn this case, a multi-agent system exists for the optimization in which agents represent chp units or wind plants. For the optimization using the agents, the agents have to fulfill a target schedule, with contains of the sum of all unit schedules. Regarding the target schedule, three objectives are considered: minimizing the difference between theproduced power in sum and the given target schedule, minimizing the emissions and minimizing the uncertainties.