cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13684519
title: UAV RAW images from UAV at 80m altitude - Ria de Vigo (Spain) pilot site

description: Identification

 




Full Title



UAV RAW images from UAV at 80m altitude - Ria de Vigo (Spain) pilot site





Abstract



UAV RAW images from DJI Mini 2 UAV at 80m altitude in the area of Vao beach and Santa Marta - Limens beach at the Ria de Vigo pilot site. Data were aquired in March 2024 field campaign.





Keywords



 UAV, Ria De Vigo, coastal area, raw drone images, DJI raw images





Pilot area



 Ria De Vigo





Associated resources



 





Language



 English





URL



 





Categories



 UAV





Temporal reference

 




Creation date (dd.mm.yyyy)



 23.08.2024





Revision date (dd.mm.yyyy)



 23.08.2024





Quality and validity

 




Representation type



 





Format



 jpg





Lineage



 





Spatial resolution



 





Positional accuracy



 





Maintenance information



 





Coordinate system



 





Constraints related to access and use

 




Use limitation



 Free





Access constraint



 None





Public/Private



 Public





Responsible organisation

 




Responsible Contact



 izananiri@eagme.gr





Responsible Party



 HSGME





Metadata on metadata

 




Contact



 izananiri@eagme.gr





Metadata language



 English
DOI: 10.5281/zenodo.13684520
title: UAV RAW images from UAV at 80m altitude - Ria de Vigo (Spain) pilot site

description: Identification

 




Full Title



UAV RAW images from UAV at 80m altitude - Ria de Vigo (Spain) pilot site





Abstract



UAV RAW images from DJI Mini 2 UAV at 80m altitude in the area of Vao beach and Santa Marta - Limens beach at the Ria de Vigo pilot site. Data were aquired in March 2024 field campaign.





Keywords



 UAV, Ria De Vigo, coastal area, raw drone images, DJI raw images





Pilot area



 Ria De Vigo





Associated resources



 





Language



 English





URL



 





Categories



 UAV





Temporal reference

 




Creation date (dd.mm.yyyy)



 23.08.2024





Revision date (dd.mm.yyyy)



 23.08.2024





Quality and validity

 




Representation type



 





Format



 jpg





Lineage



 





Spatial resolution



 





Positional accuracy



 





Maintenance information



 





Coordinate system



 





Constraints related to access and use

 




Use limitation



 Free





Access constraint



 None





Public/Private



 Public





Responsible organisation

 




Responsible Contact



 izananiri@eagme.gr





Responsible Party



 HSGME





Metadata on metadata

 




Contact



 izananiri@eagme.gr





Metadata language



 English
DOI: 10.5281/zenodo.13684437
title: UAV RAW images from UAV at 50m altitude - Ria de Vigo (Spain) pilot site

description: Identification

 




Full Title



UAV RAW images from UAV at 50m altitude - Ria de Vigo (Spain) pilot site





Abstract



UAV RAW images from DJI Mini 2 UAV at 50m altitude in the area of Vao beach and Santa Marta - Limens beach at the Ria de Vigo pilot site. Data were aquired in March 2024 field campaign.





Keywords



 UAV, Ria De Vigo, coastal area, raw drone images, DJI raw images





Pilot area



 Ria De Vigo





Associated resources



 





Language



 English





URL



 





Categories



 UAV





Temporal reference

 




Creation date (dd.mm.yyyy)



 23.08.2024





Revision date (dd.mm.yyyy)



 23.08.2024





Quality and validity

 




Representation type



 





Format



 jpg





Lineage



 





Spatial resolution



 





Positional accuracy



 





Maintenance information



 





Coordinate system



 





Constraints related to access and use

 




Use limitation



 Free





Access constraint



 None





Public/Private



 Public





Responsible organisation

 




Responsible Contact



 izananiri@eagme.gr





Responsible Party



 HSGME





Metadata on metadata

 




Contact



 izananiri@eagme.gr





Metadata language



 English
DOI: 10.5281/zenodo.13684436
title: UAV RAW images from UAV at 50m altitude - Ria de Vigo (Spain) pilot site

description: Identification

 




Full Title



UAV RAW images from UAV at 50m altitude - Ria de Vigo (Spain) pilot site





Abstract



UAV RAW images from DJI Mini 2 UAV at 50m altitude in the area of Vao beach and Santa Marta - Limens beach at the Ria de Vigo pilot site. Data were aquired in March 2024 field campaign.





Keywords



 UAV, Ria De Vigo, coastal area, raw drone images, DJI raw images





Pilot area



 Ria De Vigo





Associated resources



 





Language



 English





URL



 





Categories



 UAV





Temporal reference

 




Creation date (dd.mm.yyyy)



 23.08.2024





Revision date (dd.mm.yyyy)



 23.08.2024





Quality and validity

 




Representation type



 





Format



 jpg





Lineage



 





Spatial resolution



 





Positional accuracy



 





Maintenance information



 





Coordinate system



 





Constraints related to access and use

 




Use limitation



 Free





Access constraint



 None





Public/Private



 Public





Responsible organisation

 




Responsible Contact



 izananiri@eagme.gr





Responsible Party



 HSGME





Metadata on metadata

 




Contact



 izananiri@eagme.gr





Metadata language



 English
DOI: 10.5281/zenodo.11202334
title: Dataset related to the publication 'Size, not phylogeny, explains the morphology of the endosseous labyrinths in the crown clade Crocodylia'

description: Dataset related to the publication 'Size, not phylogeny, explains the morphology of the endosseous labyrinths in the crown clade Crocodylia'

Dataset containing the R files and script, TPS files, supplementary results, and volume reconstructions of the endosseous labyrinths necessary for the 3D geometric morphometrics analyses presented in the main study.

Description of the data and file structure

The 'R' directory contains TPS (landmarks) and other files, as well as the annotated R script necessary to rerun all the analyses presented in the main study. The 'Meshes' directory contains all the volume reconstructions associated with each specimen studied that were used to place the landmarks for the 3D geometric morphometric analyses. All specimens are designated by their inventory number. 

Code/Software

The R script file can be opened and run in R4.3.0. Necessary packages are as follows:

geomorph 4.0.5

rgl 1.1.3

ggplot2 3.4.2

ape 5.7-1

paleotree 3.4.5

phytools 2.1-1
DOI: 10.5281/zenodo.11520048
title: Dataset related to the publication 'Size, not phylogeny, explains the morphology of the endosseous labyrinths in the crown clade Crocodylia'

description: Dataset related to the publication 'Size, not phylogeny, explains the morphology of the endosseous labyrinths in the crown clade Crocodylia'

Dataset containing the R files and script, TPS files, supplementary results, and volume reconstructions of the endosseous labyrinths necessary for the 3D geometric morphometrics analyses presented in the main study.

Description of the data and file structure

The 'R' directory contains TPS (landmarks) and other files, as well as the annotated R script necessary to rerun all the analyses presented in the main study. The 'Meshes' directory contains all the volume reconstructions associated with each specimen studied that were used to place the landmarks for the 3D geometric morphometric analyses. All specimens are designated by their inventory number. 

Code/Software

The R script file can be opened and run in R4.3.0. Necessary packages are as follows:

geomorph 4.0.5

rgl 1.1.3

ggplot2 3.4.2

ape 5.7-1

paleotree 3.4.5

phytools 2.1-1
DOI: 10.5281/zenodo.11545394
title: Dataset related to the publication 'Size, not phylogeny, explains the morphology of the endosseous labyrinths in the crown clade Crocodylia'

description: Dataset related to the publication 'Size, not phylogeny, explains the morphology of the endosseous labyrinths in the crown clade Crocodylia'

Dataset containing the R files and script, TPS files, supplementary results, and volume reconstructions of the endosseous labyrinths necessary for the 3D geometric morphometrics analyses presented in the main study.

Description of the data and file structure

The 'R' directory contains TPS (landmarks) and other files, as well as the annotated R script necessary to rerun all the analyses presented in the main study. The 'Meshes' directory contains all the volume reconstructions associated with each specimen studied that were used to place the landmarks for the 3D geometric morphometric analyses. All specimens are designated by their inventory number. 

Code/Software

The R script file can be opened and run in R4.3.0. Necessary packages are as follows:

geomorph 4.0.5

rgl 1.1.3

ggplot2 3.4.2

ape 5.7-1

paleotree 3.4.5

phytools 2.1-1
DOI: 10.5281/zenodo.11202333
title: Dataset related to the publication 'Size, not phylogeny, explains the morphology of the endosseous labyrinths in the crown clade Crocodylia'

description: Dataset related to the publication 'Size, not phylogeny, explains the morphology of the endosseous labyrinths in the crown clade Crocodylia'

Dataset containing the R files and script, TPS files, supplementary results, and volume reconstructions of the endosseous labyrinths necessary for the 3D geometric morphometrics analyses presented in the main study.

Description of the data and file structure

The 'R' directory contains TPS (landmarks) and other files, as well as the annotated R script necessary to rerun all the analyses presented in the main study. The 'Meshes' directory contains all the volume reconstructions associated with each specimen studied that were used to place the landmarks for the 3D geometric morphometric analyses. All specimens are designated by their inventory number. 

Code/Software

The R script file can be opened and run in R4.3.0. Necessary packages are as follows:

geomorph 4.0.5

rgl 1.1.3

ggplot2 3.4.2

ape 5.7-1

paleotree 3.4.5

phytools 2.1-1

ggrepel 0.9.3

phylolm 2.6.2

RColorBrewer 1.1-3

rr2 1.1.1
DOI: 10.5281/zenodo.13306644
title: Dataset related to the publication 'Size, not phylogeny, explains the morphology of the endosseous labyrinths in the crown clade Crocodylia'

description: Dataset related to the publication 'Size, not phylogeny, explains the morphology of the endosseous labyrinths in the crown clade Crocodylia'

Dataset containing the R files and script, TPS files, supplementary results, and volume reconstructions of the endosseous labyrinths necessary for the 3D geometric morphometrics analyses presented in the main study.

Description of the data and file structure

The 'R' directory contains TPS (landmarks) and other files, as well as the annotated R script necessary to rerun all the analyses presented in the main study. The 'Meshes' directory contains all the volume reconstructions associated with each specimen studied that were used to place the landmarks for the 3D geometric morphometric analyses. All specimens are designated by their inventory number. 

Code/Software

The R script file can be opened and run in R4.3.0. Necessary packages are as follows:

geomorph 4.0.5

rgl 1.1.3

ggplot2 3.4.2

ape 5.7-1

paleotree 3.4.5

phytools 2.1-1

ggrepel 0.9.3

phylolm 2.6.2

RColorBrewer 1.1-3

rr2 1.1.1
DOI: 10.5281/zenodo.13739699
title: Dataset related to the publication 'Size, not phylogeny, explains the morphology of the endosseous labyrinths in the crown clade Crocodylia'

description: Dataset related to the publication 'Size, not phylogeny, explains the morphology of the endosseous labyrinths in the crown clade Crocodylia'

Dataset containing the R files and script, TPS files, supplementary results, and volume reconstructions of the endosseous labyrinths necessary for the 3D geometric morphometrics analyses presented in the main study.

Description of the data and file structure

The 'R' directory contains TPS (landmarks) and other files, as well as the annotated R script necessary to rerun all the analyses presented in the main study. The 'Meshes' directory contains all the volume reconstructions associated with each specimen studied that were used to place the landmarks for the 3D geometric morphometric analyses. All specimens are designated by their inventory number. 

Code/Software

The R script file can be opened and run in R4.3.0. Necessary packages are as follows:

geomorph 4.0.5

rgl 1.1.3

ggplot2 3.4.2

ape 5.7-1

paleotree 3.4.5

phytools 2.1-1

ggrepel 0.9.3

phylolm 2.6.2

RColorBrewer 1.1-3

rr2 1.1.1
DOI: 10.15468/dl.675v5k
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptopelis concolor Ahl, 1929"
 ]
}

 The dataset includes 101 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010090-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b29gw6
title: Occurrence Download

description: A dataset containing 17310 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "TaxonKey is Anthozoa"
 ]
}

 The dataset includes 17310 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010089-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13739475
title: MoMA Collection - Automatic Update

description: Temporary Description
DOI: 10.5281/zenodo.13739476
title: MoMA Collection - Automatic Update

description: Temporary Description
DOI: 10.6084/m9.figshare.26048188.v1
title: Distribution Characteristics, Dynamics, and Emission of Marine Hydrogen in the Eastern Indian Ocean

description: Date for Distribution Characteristics, Dynamics, and Emission of Marine Hydrogen in the Eastern Indian Ocean
DOI: 10.15468/dl.q94v95
title: Occurrence Download

description: A dataset containing 13548 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cistus creticus L."
 ]
}

 The dataset includes 13548 records from 210 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010088-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tft2gq
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lebbiea grandiflora Cheek"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010094-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.erqgc3
title: Occurrence Download

description: A dataset containing 530 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptopelis flavomaculatus (Günther, 1864)"
 ]
}

 The dataset includes 530 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010093-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13739652
title: Next-Gen Quality Assurance: A Deep Dive into Integrating Artificial Intelligence in the Pharmaceutical Industry

description: This article explores the transformativeintegration of Artificial Intelligence (AI) withadvanced quality tools in the pharmaceuticalindustry. From the adoption of AnalyticalQuality by Design (AQbD) principles inmethod development to the application ofAI in rapid testing, Design of Experiments(DoE), and statistical tools for trending andprocess capability analysis, a synergisticrelationship emerges. The amalgamation ofAI and advanced tools represents aparadigm shift, propelling quality assuranceinto a new frontier marked by precision,reliability, and excellence in pharmaceuticalmanufacturing. Despite encounteringchallenges such as data privacy andregulatory compliance, the industry ismoving towards a future where AI is notmerely a tool but a strategic partner, shapinga revolutionary landscape where the higheststandards of quality are not only met butexceeded.
DOI: 10.5281/zenodo.13739653
title: Next-Gen Quality Assurance: A Deep Dive into Integrating Artificial Intelligence in the Pharmaceutical Industry

description: This article explores the transformativeintegration of Artificial Intelligence (AI) withadvanced quality tools in the pharmaceuticalindustry. From the adoption of AnalyticalQuality by Design (AQbD) principles inmethod development to the application ofAI in rapid testing, Design of Experiments(DoE), and statistical tools for trending andprocess capability analysis, a synergisticrelationship emerges. The amalgamation ofAI and advanced tools represents aparadigm shift, propelling quality assuranceinto a new frontier marked by precision,reliability, and excellence in pharmaceuticalmanufacturing. Despite encounteringchallenges such as data privacy andregulatory compliance, the industry ismoving towards a future where AI is notmerely a tool but a strategic partner, shapinga revolutionary landscape where the higheststandards of quality are not only met butexceeded.
DOI: 10.34740/kaggle/dsv/9358056
title: ⏳ endoflife.date database (duckdb)
DOI: 10.1594/pangaea.892657
title: Multi-source global wetland maps combining surface water imagery and groundwater constraints

description: Many maps of open water and wetland have been developed based on three main methods: (i) compiling national/regional wetland surveys; (ii) identifying inundated areas by satellite imagery; (iii) delineating wetlands as shallow water table areas based on groundwater modelling. The resulting global wetland extents, however, vary from 3 to 21% of the land surface area, because of inconsistencies in wetland definitions and limitations in observation or modelling systems. To reconcile these differences, we propose composite wetland (CW) maps combining two classes of wetlands: (1) regularly flooded wetlands (RFW) which are obtained by overlapping selected open-water and inundation datasets; (2) groundwater-driven wetlands (GDW) derived from groundwater modelling (either direct or simplified using several variants of the topographic index). Wetlands are thus statically defined as areas with persistent near saturated soil because of regular flooding or shallow groundwater. To explore the uncertainty of the proposed data fusion, seven CW maps were generated at the 15 arc-sec resolution (ca 500 m at the Equator) using geographic information system (GIS) tools, by combining one RFW and different GDW maps. They correspond to contemporary potential wetlands, i.e. the expected wetlands assuming no human influence under the present climate. To validate the approach, these CW maps were compared to existing wetland datasets at the global and regional scales: the spatial patterns are decently captured, but the wetland extents are difficult to assess against the dispersion of the validation datasets. Compared to the only regional dataset encompassing both GDWs and RFWs, over France, the CW maps perform well and better than all other considered global wetland datasets. Two CW maps, showing the best overall match with the available evaluation datasets, are eventually selected. They give a global wetland extent of 27.5 and 29 million km², i.e. 21.1 and 21.6% of global land area, which is among the highest values in the literature, in line with recent estimates also recognizing the contribution of GDWs. This wetland class covers 15% of global land area, against 9.7% for RFWs (with an overlap ca 3.4 %), including wetlands under canopy/cloud cover leading to high wetland densities in the tropics, and small scattered wetlands, which cover less than 5% of land but are very important for hydrological and ecological functioning in temperate to arid areas. By distinguishing the RFWs and GDWs globally based on uniform principles, the proposed dataset is believed to be useful for large-scale land surface modelling (hydrological, ecological and biogeochemical modelling) and environmental planning.
description: Three global wetland maps at 15" resolution (~500 m at the Equator) are presented named:(1) regularly flooded wetlands (RFW),(2) composite wetland based on direct GW modelling (CW-WTD),(3) Composite wetland map based on topo-climate index (CW-TCI15%).Dataset update 2018-12-06: kmz.zip folder added to the dataset.
DOI: 10.17189/1519573
title: MRO CRISM TARGETED EMPIRICAL RECORD V1.0
DOI: 10.17632/mcdw3sp5vw.1
title: Data for: An Orbital Comparison of a Late Mantling Unit on Aeolis Mons with Other Erosion-Resistant Strata Explored by MSL in Gale Crater, Mars

description: Data for the publication "An Orbital Comparison of a Late Mantling Unit on Aeolis Mons with Other Erosion-Resistant Strata Explored by MSL in Gale Crater, Mars" by Amanda Rudolph et al., submitted to the Journal of Geophysical Research.
(1) ArcGIS shapefiles of marker band package and mantling unit tracings that were conducted manually using HiRISE and CTX images
(2) Calculated band parameters from CRISM spectra
DOI: 10.17632/ypkgwjfr4r.1
title: Numerical Simulation of Barchan-barchan repulsion

description: The dataset shared within these files consists of the full setup to perform a numerical simulation of a subaquous barchan-barchan dune interaction. The simulation was carried out using the open-source free CFDEM software, which couples the open-source CFD code OpenFOAM with the open-source DEM code LIGGGHTS. The simulations were previously tested and validated (considering only one single barchan dune) against experimental results and results from the literature. The dataset contains a complete example case. We also share the full Octave code for post-processing those results. To understand and run the case, the user should be noticed that previously experience with both OpenFOAM and LIGGGHTS are recommended.
DOI: 10.5066/p9ytk9pe
title: Airborne Survey of Gas Emissions from Volcanoes in the Cook Inlet and Northern Alaska Peninsula, 2021

description: On 16 July 2021, measurements were made of the volcanic gases emitted from Iliamna Volcano, Mount Douglas, Mount Martin, and Mount Mageik (Alaska, USA) from aboard a fixed-wing aircraft. Two zenith-facing differential optical absorption spectrometers were used to measure incident scattered solar ultraviolet radiation while traversing beneath the gas plumes on multiple occasions. These data were used to derive volcanic SO2 column densities and emission rates. In addition to the remote sensing payload, two in situ instruments were used to make measurements of trace gas concentrations while on flight paths through the volcanic plumes: a USGS multi-GAS (multiple Gas Analyzer System; Werner et al., 2017) analyzer for H2O-CO2-SO2-H2S, and an Off-Axis Integrated Cavity Output Spectroscopy (OA-ICOS) instrument manufactured by Los Gatos Research, Inc., for H2O-HCl-HF. The CO2, SO2, and H2S sensors were calibrated five times in-flight at ambient pressures from 804-686 hPa (~1800-3000 m altitude) using standard gases stored in 25-liter capacity tedlar bags (CO2 = 448 ppm, SO2 = 2.1 ppm, H2S, = 2.0 ppm; all gases certified at ±2% accuracy). The H2O/CO2 analyzer’s baseline response was checked using small soda lime and anhydrite cartridges to remove H2O and CO2 from ambient air, and the sulfur sensors’ baselines were derived from their responses while sampling clean ambient air. In situ gas compositions were recorded at 1-second time resolution, while radiance spectra were acquired with variable integration times depending on illumination conditions and ranging from 1 to 3 seconds. Each spectrum and gas measurement was stamped with the GPS time and location. Each spectrum was saved in a separate ASCII file which includes 1024 radiances measured in the 265 - 403 nm spectral region and metadata associated with each acquisition. The in situ measurements are saved in a spreadsheet in the *.csv format.