cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10039113
title: Orthophoto & DEM (MNE) issues d'images drone, UAV, Ermitage, Saint-Gilles, Réunion - 20230524 - 02_1

description: "Ce jeu de données présente les résultats des traitements photogrammétriques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Ermitage, Saint-Gilles, Réunion à la date suivante : 20230524.
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 dans le but de créer des modèles numériques d'élévations pour cartographier la rugosité récifale du lagon jusqu'à la pente externe. Les données seront utilisées dans le cadre du projet TELEMAC.

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
    - 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. RINEX et LLH issus d'un Emlid Reach M2 synchronisé avec la LED de navigation (événement envoyé dans le log du récepteur GNSS lors du déclenchement d'une image). Le but est de pouvoir réaliser un PPK (similaire au RTK en post-traitement) et ainsi disposer d'une position centrimétrique sur chaque image.
    - 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:
│  └─ 20230524_REU-ermitage_UAV-02_1
│--------  └─ DCIM
│--------  └─ GPS
│----------------  └─ base_2023_05_24_pascal
│----------------  └─ reach_2023_05_24_drone
│------------------------  └─ reachsylvai_raw_202305240249_RINEX_3_03
│------------------------  └─ reachsylvai_raw_202305240330_RINEX_3_03
│----------------  └─ reach_2023_05_24_rover
│--------  └─ 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: -80.00

- Survey informations:
 No Images: 324
 Median height: 70 meters
 Survey area: 8.97 hectares
 Survey from: 2023:05:24 07:35:31 to: 2023:05:24 07:58:33
"
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.10037648
title: Orthophoto & DEM (MNE) issues d'images drone, UAV, Ermitage, Saint-Gilles, Réunion - 20230801 - 02_1

description: "Ce jeu de données présente les résultats des traitements photogrammétriques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Ermitage, Saint-Gilles, Réunion à la date suivante : 20230801. 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 dans le but de créer des modèles numériques d'élévations pour cartographier la rugosité récifale du lagon jusqu'à la pente externe. Les données seront utilisées dans le cadre du projet TELEMAC. 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 - 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. RINEX et LLH issus d'un Emlid Reach M2 synchronisé avec la LED de navigation (événement envoyé dans le log du récepteur GNSS lors du déclenchement d'une image). Le but est de pouvoir réaliser un PPK (similaire au RTK en post-traitement) et ainsi disposer d'une position centrimétrique sur chaque image. - 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: │ └─ 20230802_REU-ermitage_UAV-02_1 │-------- └─ 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: -80.00 - Survey informations: No Images: 352 Median height: 30 meters Survey area: 3.25 hectares Survey from: 2023:08:01 06:59:36 to: 2023:08:01 07:16:47 "
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.10039112
title: Orthophoto & DEM (MNE) issues d'images drone, UAV, Ermitage, Saint-Gilles, Réunion - 20230801 - 02_1

description: "Ce jeu de données présente les résultats des traitements photogrammétriques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Ermitage, Saint-Gilles, Réunion à la date suivante : 20230801. 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 dans le but de créer des modèles numériques d'élévations pour cartographier la rugosité récifale du lagon jusqu'à la pente externe. Les données seront utilisées dans le cadre du projet TELEMAC. 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 - 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. RINEX et LLH issus d'un Emlid Reach M2 synchronisé avec la LED de navigation (événement envoyé dans le log du récepteur GNSS lors du déclenchement d'une image). Le but est de pouvoir réaliser un PPK (similaire au RTK en post-traitement) et ainsi disposer d'une position centrimétrique sur chaque image. - 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: │ └─ 20230802_REU-ermitage_UAV-02_1 │-------- └─ 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: -80.00 - Survey informations: No Images: 352 Median height: 30 meters Survey area: 3.25 hectares Survey from: 2023:08:01 06:59:36 to: 2023:08:01 07:16:47 "
description: This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI
DOI: 10.34740/kaggle/dsv/7854454
title: Top Spotify Songs in 73 Countries (Daily Updated)
DOI: 10.48432/ozofmr
title: InsectCV: um sistema para detecção de insetos em laboratório a partir de imagens de armadilhas.

description: Conjunto de imagens utilizadas para treinamento do software InsectCV (CESARO JÚNIOR et at., 2022). O software InsectCV foi desenvolvido para a detecção e contagem de afídeos e seus parasitoides em amostras de armadilhas amarelas de água (Moericke). Este conjunto de dados contém 13.642 imagens de 608 x 608 pixels em formato de escala de cinza e as etiquetas correspondentes geradas no formato YOLO V4. O conjunto de dados também contém 309 imagens (6256 x 6256 pixels) originais (produto da digitalização de amostras de armadilhas em scanner de mesa em uma resolução de 1200 dpi ). Adicionalmente, há um arquivo com imagens coloridas.
DOI: 10.25345/c51c1ts5n
title: MassIVE MSV000094328 - CA_Tripep_SXX-New_Practice_file_1524
title: MS/MS fragmentation data of Tripeptide with Choli acid acquired on Q Exactive-with chromatographic separation on a Phenomenex polar C18 column.
DOI: 10.34740/kaggle/dsv/7854485
title: Balochi Language to English Translation Dataset
DOI: 10.6084/m9.figshare.25197047
title: Table_5_2015_Set3_3-2

description: The grapevine is one of most widely perennial crops grown worldwide. As for other species displaying clusters of small fruits, the development of single berries within a bunch is asynchronous and heterogeneous. Because of this, the study of water and solute accumulation kinetics and balance at organ level cannot be directly extrapolated from samples of populations of fruits. In order to have an original and reliable dataset on the accumulation kinetics of the main solutes (primary and secondary metabolites and cations) and water, we analyzed fruits populations sorted according to their density and also individual berries from the onset of sugar importation to the end of phloem unloading. The studies were performed on a panel of varieties representing different metabolic contexts for the relationship between the import of organic and inorganic solutes and fruit growth, including genotypes able to import water at low fruit osmotic potential. These original data sets are suitable to revisit some aspects of the accumulation of main solutes and water in the grapevine fruit development and/or to perform comparative studies with other fleshy fruits.
DOI: 10.6084/m9.figshare.25197050
title: Table_2_2014_Full-2

description: The grapevine is one of most widely perennial crops grown worldwide. As for other species displaying clusters of small fruits, the development of single berries within a bunch is asynchronous and heterogeneous. Because of this, the study of water and solute accumulation kinetics and balance at organ level cannot be directly extrapolated from samples of populations of fruits. In order to have an original and reliable dataset on the accumulation kinetics of the main solutes (primary and secondary metabolites and cations) and water, we analyzed fruits populations sorted according to their density and also individual berries from the onset of sugar importation to the end of phloem unloading. The studies were performed on a panel of varieties representing different metabolic contexts for the relationship between the import of organic and inorganic solutes and fruit growth, including genotypes able to import water at low fruit osmotic potential. These original data sets are suitable to revisit some aspects of the accumulation of main solutes and water in the grapevine fruit development and/or to perform comparative studies with other fleshy fruits.
DOI: 10.7284/155593
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise SAV-23-11 using a Hawaii UHDAS instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155594
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise SAV-23-11 using a SeaBird SBE-911+ instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155592
title: Fluorometer data collected during research cruise SAV-23-11 using a WETLabs WETStar instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155595
title: GNSS (Global Navigation Satellite System) data collected during research cruise SAV-23-11 using a Furuno GP-90 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155596
title: GNSS (Global Navigation Satellite System) data collected during research cruise SAV-23-11 using a Furuno SC50 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155597
title: GNSS (Global Navigation Satellite System) data collected during research cruise SAV-23-11 using a Hemisphere R131 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155598
title: Gyrocompass data collected during research cruise SAV-23-11 using a Yokogawa CMZ700B instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155599
title: Meteorological Station data collected during research cruise SAV-23-11 using a RMYoung 26800 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155600
title: Singlebeam Echosounder data collected during research cruise SAV-23-11 using a Furuno FCV-585 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.5281/zenodo.10818675
title: Semantic Event Extraction Datasets

description: Two datasets for Semantic Event Extraction that have been created using a distant labelling approach.

They contain sentences from Wikipedia and events identified within them, their relations and attributes regarding the classes, properties and entities in the Wikidata and DBpedia knowledge graphs.
DOI: 10.5281/zenodo.10818676
title: Semantic Event Extraction Datasets

description: Two datasets for Semantic Event Extraction that have been created using a distant labelling approach.

They contain sentences from Wikipedia and events identified within them, their relations and attributes regarding the classes, properties and entities in the Wikidata and DBpedia knowledge graphs.
DOI: 10.5281/zenodo.10782558
title: CH4 top-down emissions from three high-latitude Arctic regions.

description: This dataset contains top-down emissions from three high-latitude Arctic regions (the North Slope of Alaska, the East Siberian Lowlands and the Taymyr Peninsula) using three different priors. Emissions were used in the publication "Ward et al., 2024 - Increasing methane emissions and widespread cold-season release from high-Arctic regions detected through atmospheric measurements" in review with JGR:Atmospheres. 

Top-down emissions were derived using the RHIME inverse model from the University of Bristol's Atmopsheric Chemistry Research Group. For more details on the model, inputs and region definitions please see the above publication.
DOI: 10.5281/zenodo.10090594
title: Temporal dynamics of invertebrate community assembly in Lake Victoria since the Late Pleistocene based on chitinous remains

description: Preserved assemblages of invertebrate remains in lacustrine sediment reveal temporal variations of community composition and environmental conditions. However, records for large tropical lakes are scarce. Lake Victoria, the largest tropical lake, has a dynamic history of changes in water level, biogeochemistry, and fish community composition over the past ~17,000 cal yr BP. In order to quantify changes in the invertebrate assemblage of Lake Victoria from the Late Pleistocene throughout the Holocene, we examined chitinous remains of Cladocera and larval dipterans (Chironomidae and Chaoboridae) from a sediment core (37 m water depth) dated from ~13,700 cal yr BP to present. We identified four major phases in the invertebrate assemblage throughout this period of lake history. First, Chironomidae and Chaoboridae appeared at low abundances during the earliest stages of the lake inundation in the late Pleistocene, at a time when Cladocera were notably absent. Second, chaoborids and chironomids increased in abundance during the Mid Holocene, which coincided with high diatom production towards the end of the Holocene African Humid Period. Third, starting ~4,700 cal yr BP, Alona, a predominantly littoral cladoceran genus, consistently appeared in the invertebrate assemblage alongside changes in mixing regimes and persisted throughout the Late Holocene to present. Fourth, the arrival of both Chydorus and Bosmina longirostris marked the establishment of an abundant cladoceran assemblage at ~1,350 cal yr BP. The assemblage then gradually shifted toward the increasing dominance of B. longirostris, a planktonic cladoceran. This study provides the first multi-millennial record of sedimentary invertebrate assemblages in Lake Victoria, and elucidates some of the temporal development of these communities throughout most of the modern ecosystem's dynamic history. Overall, we provide novel insights into the temporal dynamics of invertebrate community assembly in relation to climatic and environmental variability in tropical lakes.
DOI: 10.5281/zenodo.10514493
title: Impacts of Post-fire Debris Flows on Fluvial Morphology and Sediment Transport in a California Central Coast Stream

description: Structure from Motion orthoimagery, lidar differencing products, and grain size data to be published with the submission of "Impacts of Post-fire Debris Flows on Fluvial Morphology and Sediment Transport in a California Central Coast Stream" to Journal of Geophysical Research: Earth Surface. 

 

2016, 2021, and 2022 orthoimagery for Upper Big Creek:

J_2016.tif, J_2021.tif, J_2022.tif, K_2016.tif, K_2021.tif, K_2022.tif, L_2016.tif, L_2021.tif, L_2022.tif

Files titled K_[year].tif encompass our upstream study reach; files titled J_[year].tif encompass our middle study reach; files titled L_[year].tif encompass our downstream study reach.

 

2016, 2021, and 2022 orthoimagery for Devil's Creek:

G_2016.tif, G_2021.tif, G_2022.tif, _2016.tif, H_2021.tif, H_2022.tif, I_2016.tif, I_2021.tif, I_2022.tif

Files labeled G_[year].tif encompass our upstream study reach; files labeled H_[year].tif encompass our middle study reach; files labeled I_[year].tif encompass our downstream study reach.

 

2016, 2021, and 2022 grain size data for Upper Big Creek with units in meters:

BC_2016.csv, BC_2021.csv, BC_2022.csv

 

2016, 2021, and 2022 grain size data for Devil's Creek with units in meters:

DC_2016.csv, DC_2021.csv, DC_2022.csv

 

Differenced lidar digital terrain models for Big Creek and Devil's Creek with units in meters:

DoD_11_22.tif (difference between 2011 and 2022 lidar DTMs), DoD_11_15.tif (difference between 2011 and 2022 lidar DTMs)

 

This work was funded by the Geological Society of America, the National Center for Airborne Laser Mapping, the Washington Section of the American Water Resources Association, the Western Washington University Research and Sponsored Programs Office, and the Western Washington University Geology Department.
DOI: 10.5281/zenodo.10514492
title: Impacts of Post-fire Debris Flows on Fluvial Morphology and Sediment Transport in a California Central Coast Stream

description: Structure from Motion orthoimagery, lidar differencing products, and grain size data to be published with the submission of "Impacts of Post-fire Debris Flows on Fluvial Morphology and Sediment Transport in a California Central Coast Stream" to Journal of Geophysical Research: Earth Surface. 

 

2016, 2021, and 2022 orthoimagery for Upper Big Creek:

J_2016.tif, J_2021.tif, J_2022.tif, K_2016.tif, K_2021.tif, K_2022.tif, L_2016.tif, L_2021.tif, L_2022.tif

Files titled K_[year].tif encompass our upstream study reach; files titled J_[year].tif encompass our middle study reach; files titled L_[year].tif encompass our downstream study reach.

 

2016, 2021, and 2022 orthoimagery for Devil's Creek:

G_2016.tif, G_2021.tif, G_2022.tif, _2016.tif, H_2021.tif, H_2022.tif, I_2016.tif, I_2021.tif, I_2022.tif

Files labeled G_[year].tif encompass our upstream study reach; files labeled H_[year].tif encompass our middle study reach; files labeled I_[year].tif encompass our downstream study reach.

 

2016, 2021, and 2022 grain size data for Upper Big Creek with units in meters:

BC_2016.csv, BC_2021.csv, BC_2022.csv

 

2016, 2021, and 2022 grain size data for Devil's Creek with units in meters:

DC_2016.csv, DC_2021.csv, DC_2022.csv

 

Differenced lidar digital terrain models for Big Creek and Devil's Creek with units in meters:

DoD_11_22.tif (difference between 2011 and 2022 lidar DTMs), DoD_11_15.tif (difference between 2011 and 2022 lidar DTMs)

 

This work was funded by the Geological Society of America, the National Center for Airborne Laser Mapping, the Washington Section of the American Water Resources Association, the Western Washington University Research and Sponsored Programs Office, and the Western Washington University Geology Department.
DOI: 10.5281/zenodo.10818788
title: Schrock molybdenum alkylidene catalyst enables selective formation of macrocyclic unsaturated lactones by ring-closing metathesis at high-concentration

description: Data supporting findings described in Green Chemistry, 2023, 25, 2299-2304. https://doi.org/10.1039/D2GC02988J

The research was performed within OPUS project and was funded by National Science Centre, Poland, grant number DEC-2019/33/B/ST4/00874.
DOI: 10.5281/zenodo.10818787
title: Schrock molybdenum alkylidene catalyst enables selective formation of macrocyclic unsaturated lactones by ring-closing metathesis at high-concentration

description: Data supporting findings described in Green Chemistry, 2023, 25, 2299-2304. https://doi.org/10.1039/D2GC02988J

The research was performed within OPUS project and was funded by National Science Centre, Poland, grant number DEC-2019/33/B/ST4/00874.
DOI: 10.7284/155584
title: Fluorometer data collected during research cruise SAV-23-09 using a WETLabs WETStar instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155586
title: GNSS (Global Navigation Satellite System) data collected during research cruise SAV-23-09 using a Furuno GP-90 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155587
title: GNSS (Global Navigation Satellite System) data collected during research cruise SAV-23-09 using a Furuno SC50 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155588
title: GNSS (Global Navigation Satellite System) data collected during research cruise SAV-23-09 using a Hemisphere R131 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155589
title: Gyrocompass data collected during research cruise SAV-23-09 using a Yokogawa CMZ700B instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155590
title: Meteorological Station data collected during research cruise SAV-23-09 using a RMYoung 26800 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition