cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.armghk
title: Occurrence Download

description: A dataset containing 4354 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 4354 records from 167 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034743-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kzbfa4
title: Occurrence Download

description: A dataset containing 20097771 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is NLD",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 20097771 records from 171 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0166741-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9fkjhz
title: Occurrence Download

description: A dataset containing 258891 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calidris bairdii (Coues, 1861)"
 ]
}

 The dataset includes 258891 records from 197 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0177990-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bhyhjn
title: Occurrence Download

description: A dataset containing 162279 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Issue is Coordinate rounded",
 "TaxonKey is Acer pseudoplatanus L."
 ]
}

 The dataset includes 162279 records from 449 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045473-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/nbcfhv7mb4.1
title: LINF_130009100

description: AMP-binding domain-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.7ca2up
title: Occurrence Download

description: A dataset containing 3669 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Portugal",
 "Geometry POLYGON((-9.85528 36.17961,-6.06032 36.17961,-6.06032 42.52032,-9.85528 42.52032,-9.85528 36.17961))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lavandula stoechas L."
 ]
}

 The dataset includes 3669 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004522-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28239638
title: DATASET: Abundance and diversity of Arecaceae in 100 20 m x 50 m plots along a 5-km transect at the RESEX Riozinho do Anfrísio, Eastern Amazon, Brazil

description: The present dataset resulted from a survey that was conducted within the federally-managed Riozinho do Anfrísio Extractive Reserve (hereafter, RESEX Riozinho), a 737,088-hectare natural reserve limited in the East by the Iriri River, a large clear-water tributary of the Xingu River in the state of Pará, Brazil. The survey was realised in May 2019, at the end of the rainy season. Palm trees were counted on 100 adjacent plots measuring 20 m x 50 m along a 5 km-long transect previously marked for mammal surveys, totalling a 10 ha cover area. Distances were measured using the portable measuring tool HipChain®, with every 50 m marked with flagging tape and mapped with a Garmin® 78S handheld GPS receiver. The transect was slowly censused on foot at ~1 km/h by a minimum of two experienced observers. All adult palms within ten meters on either side of the transect were recorded and identified to species level whenever possible using species descriptions. Their positions along the transect were then noted to the nearest 50 meters. The presence or absence of <i>igarapés</i>, shallow, narrow and slow streams typical of Amazonian environments, was recorded for each plot, generating a binary variable, as those are generally not visible from satellite imagery.Coordinates representing each 20 m x 50 m plot were later used to extracted data from the digital elevation model (DEM) database TOPODATA, from the Brazilian Spatial Research Institute (INPE), a country-wide resource which refined data from the Shuttle Radar Topography Mission (SRTM) and offers images with resolution of 30 m, containing measures such as altitude, slope, relief, exposure and terrain shape (Fig. 2). We used HydroSHEDS data to calculate the distance from each transect sub-unit to the nearest perennial stream as registered by the SRTM, which did not record recently formed <i>igarapés</i>. As a proxy to measure forest density, we extracted the normalized difference vegetation index (NDVI) for the coordinates representing each of the 100 plots, using satellite imagery from Cbers 4A . The calculations of NDVI, and topographical and hydrological variables, were conducted in QGIS 3.34 “Prizren”.
DOI: 10.15468/dl.9ubzwk
title: Occurrence Download

description: A dataset containing 4869 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (South Africa, Lesotho, Eswatini)",
 "TaxonKey is one of (Anthoscopus caroli (Sharpe, 1871))",
 "BasisOfRecord is one of (Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950",
 "OccurrenceStatus is Present",
 "DistanceFromCentroidInMeters is greater than or equal to 2000"
 ]
}

 The dataset includes 4869 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004523-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cs3u88
title: Occurrence Download

description: A dataset containing 12213544 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Ecuador"
 ]
}

 The dataset includes 12213544 records from 1969 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004472-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pnp2dq
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trollius miyabei Sipliv."
 ]
}

 The dataset includes 41 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023814-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ffmyh
title: Occurrence Download

description: A dataset containing 155 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asclepias fournieri Woodson"
 ]
}

 The dataset includes 155 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000282-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yekgsm
title: Occurrence Download

description: A dataset containing 503 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CatalogNumber ~beo*",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 503 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017493-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xnv66n
title: Occurrence Download

description: A dataset containing 68616 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amazona viridigenalis (Cassin, 1853)"
 ]
}

 The dataset includes 68616 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016909-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n86kg7
title: Occurrence Download

description: A dataset containing 4325 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cirolanidae",
 "Continent is one of (North America, South America)"
 ]
}

 The dataset includes 4325 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023856-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.52xbxt
title: Occurrence Download

description: A dataset containing 556045 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tyto alba (Scopoli, 1769)"
 ]
}

 The dataset includes 556045 records from 1682 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003086-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ywq4w
title: Occurrence Download

description: A dataset containing 154 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudotsuga macrolepis Flous"
 ]
}

 The dataset includes 154 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001216-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7t9b5k
title: Occurrence Download

description: A dataset containing 34390597 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Mexico"
 ]
}

 The dataset includes 34390597 records from 4242 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001210-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.2908/iss_21gvcps
title: Entreprises achetant des services à l'étranger par type de services, partenaire commercial et région commerciale - statistiques expérimentales
title: Enterprises purchasing services from abroad by type of services, business partner and trade region - experimental statistics
title: Unternehmen, die Dienstleistungen aus dem Ausland beziehen, nach Art der Dienstleistung, Geschäftspartner und Handelsregion - experimentelle Statistiken
DOI: 10.2908/tour_ce_oarc
title: Short-stay accommodation offered via collaborative economy platforms by residence of the guest and cities - experimental statistics
title: Hébergement de courte durée proposé par l'intermédiaire des plateformes en ligne d'économie collaborative par résidence du client et villes - statistiques expérimentales
title: Buchungen von Kurzzeitaufenthalten auf Sharing Economy Plattformen nach Herkunft des Gastes und Städten - experimentelle Statistiken
DOI: 10.2908/tour_dem_tnpw
title: Übernachtungen im Rahmen von Pauschalreisen nach Dauer, Zweck und Hauptzielort der Reise (ab 2020)
title: Nights spent during package trips by duration, purpose and main destination of the trip (from 2020 onwards)
title: Nuitées lors de voyages à forfait par durée, motif et destination principale du voyage (à partir de 2020)
DOI: 10.2908/iss_21covis
title: Entreprises par type d'impact du COVID-19 sur le sourçage international - statistiques expérimentales
title: Unternehmen nach Art der Auswirkungen von COVID-19 auf die internationale Beschaffung - experimentelle Statistiken
title: Enterprises by type of COVID-19 impact on international sourcing - experimental statistics
DOI: 10.15468/dl.sr9y7d
title: Occurrence Download

description: A dataset containing 8803 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-141.94506 11.02944,-57.05494 11.02944,-57.05494 44.97056,-141.94506 44.97056,-141.94506 11.02944))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Microtus mexicanus (Saussure, 1861)"
 ]
}

 The dataset includes 8803 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0176429-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.2908/fats_ctrl_rd
title: Research and development variables in foreign controlled EU enterprises by detailed breakdown of country of control (from 2021 onwards)
title: Forschungs- und Entwicklungsvariablen in ausländisch kontrollierten EU-Unternehmen nach detaillierter Aufschlüsselung des Kontrolllandes (ab 2021)
title: Variables de recherche et développement dans les entreprises de l’UE sous contrôle étranger par ventilation détaillée du pays de contrôle (à partir de 2021)
DOI: 10.2908/fats_out_part
title: Foreign affiliates of the EU enterprises by detailed breakdown of country of the affiliates (from 2021 onwards)
title: Filiales étrangères des entreprises de l’UE par ventilation détaillée du pays des filiales (à partir de 2021)
title: Mit EU-Unternehmen verbundenen Unternehmen im Ausland detailliert nach Ländern der verbundenen Unternehmen (ab 2021)
DOI: 10.2908/tour_ce_oam
title: Guest nights spent at short-stay accommodation offered via collaborative economy platforms by mode of accommodation - experimental statistics
title: Nuitées passées par le client dans des hébergements de courte durée proposés via des plateformes en ligne d'économie collaborative par mode d'hébergement - statistiques expérimentales
title: Übernachtungen im Rahmen von Kurzzeitaufenthalten gebucht auf Sharing Economy Plattformen nach Art der Unterkunft - experimentelle Statistiken
DOI: 10.2908/tour_ce_oasc
title: Guest nights spent at short-stay accommodation offered via collaborative economy platforms by size class of accommodation - experimental statistics
title: Nuitées passées par le client dans des hébergements de courte durée proposés via des plateformes en ligne d'économie collaborative par taille de l'hébergement - statistiques expérimentales
title: Übernachtungen im Rahmen von Kurzzeitaufenthalten gebucht auf Sharing Economy Plattformen nach Größe der Unterkunft - experimentelle Statistiken
DOI: 10.2908/tour_dem_exmd
title: Expenditure by month of departure of the trip
title: Dépenses par mois de départ du voyage
title: Ausgaben nach jeweiligem Abreisemonat
DOI: 10.2908/tour_dem_tntrb
title: Nights spent by booking channel for the main mode of transport used for the trip (from 2020 onwards)
title: Nuitées par canal de réservation pour le moyen de transport principal utilisé pour le voyage (à partir de 2020)
title: Übernachtungen nach Buchungsweg für das für die Reise genutzte Hauptbeförderungsmittel (ab 2020)
DOI: 10.15468/dl.ru2a58
title: Occurrence Download

description: A dataset containing 10094981 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China"
 ]
}

 The dataset includes 10094981 records from 5041 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009238-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kjz8mp
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Puccinia komarovii",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006565-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34894/wb4ytd
title: Data and code for "The sense and control of standing balance in the presence of motor noise"

description: These files contain the MATLAB code and data required to reproduce Figures 2–4 and Supplementary material of “The sense and control of standing balance in the presence of motor noise”. The Data folder contains .mat files with all trials of participants from Experiment 1, 2, and 3 separately. Data include measured whole-body angle, forces and moments, together with derived measures such as angular velocity, d′, thresholds, and power. The supplementary material contains descriptions of the Linear Quadratic Regulator (LQR) model simulations together with for the supplementary figures (S1-2). The LQR model represents balance control as an inverted pendulum stabilized by optimal state feedback with a Smith predictor to compensate for sensory and motor delays, and includes nonlinear elements such as ankle stiffness, signal-dependent motor noise, and muscle activation dynamics. The MATLAB code of the LQR model is also provided and further details on the implementation can be found at https://github.com/AminMNasr/NonlinearityLQR.git.
description: The data files must be stored in the same folder as the processing code. An error will be thrown if data cannot be found. All individual trials are collected a single MATLAB table, where each row corresponds to a trial. This table contains columns corresponding to the subject number, condition, and other timeseries of measured variables.
DOI: 10.5281/zenodo.17104475
title: Dataset for the paper "Multi-fidelity transonic aerodynamic loads estimation using Bayesian neural networks with transfer learning"

description: This repository provides the multi-fidelity aerodynamic datasets used in:A. Vaiuso, G. Immordino, M. Righi, A. Da Ronch. "Multi-fidelity transonic aerodynamic loads estimation using Bayesian neural networks with transfer learning." Aerospace Science and Technology, 163 (2025) 110301.https://doi.org/10.1016/j.ast.2025.110301

The datasets enable training, validation, and benchmarking of a surrogate model for transonic aerodynamic load prediction with quantified uncertainty. They include low-, mid-, and high-fidelity aerodynamic data for a finite wing test case in transonic conditions and a full eVTOL aircraft configuration.

1. Finite Wing – Benchmark Supercritical Wing (BSCW)





Design space: Mach number ∈ [0.70 , 0.84] and Angle of Attach AoA ∈ [0, 4] deg.




Low-fidelity (LF): 625 samples generated with XFoil (panel method with 3D corrections).




Mid-fidelity (MF): 49 RANS simulations with SU2 (coarse 2.5M-cell hybrid grid, Spalart–Allmaras turbulence model). Grid Convergence Index ≈ 5.4%.




High-fidelity (HF): 58 RANS simulations with SU2 (fine 15.6M-cell grid, GCI ≈ 0.6%). Of these, 7 samples were used for model fine-tuning, while 51 were retained as an independent HF test set.




Outputs: lift coefficient (CL) and pitching moment coefficient (CM) relative to 30% chord.



2. Full–Configuration eVTOL Vehicle





Geometry: 5-propeller configuration with four symmetric lift propellers (front/rear) and one tail-mounted pusher.


Design space: AoA ∈ [−180 , 180] deg, freestream velocity U ∈ [0 , 40] m/s, and propeller RPM up to ±4000.



Low-fidelity (LF): 2000 samples from Blade Element Momentum (BEM) methods with momentum-theory-based induced velocity corrections. 




Mid-fidelity (MF): 250 simulations using the DUST framework (Vortex Particle Method with nonlinear lifting-line). Between 30–40 lifting lines per blade; wing discretised with ~3000 panels per side.




Outputs: thrust (KT) and torque (KQ) coefficients for each of the five propellers.



PurposeThese datasets support the development of multi-fidelity machine-learning frameworks for transonic aerodynamics, providing training material for uncertainty-aware surrogate models. They are also relevant for applications in aeroelasticity, flight dynamics, and design of unconventional aircraft (e.g. eVTOLs).

Contents





Raw aerodynamic datasets at LF, MF, HF fidelities.




Partitioning into training, validation, and independent test sets as described in the paper.




Associated aerodynamic coefficients across Mach–AoA (BSCW) and AoA–velocity–RPM (eVTOL) parameter spaces.



KeywordsMulti-fidelity modelling; Bayesian neural networks; transfer learning; uncertainty quantification; Benchmark Supercritical Wing; eVTOL aerodynamics; CFD; reduced-order modelling.
DOI: 10.5281/zenodo.17104476
title: Dataset for the paper "Multi-fidelity transonic aerodynamic loads estimation using Bayesian neural networks with transfer learning"

description: This repository provides the multi-fidelity aerodynamic datasets used in:A. Vaiuso, G. Immordino, M. Righi, A. Da Ronch. "Multi-fidelity transonic aerodynamic loads estimation using Bayesian neural networks with transfer learning." Aerospace Science and Technology, 163 (2025) 110301.https://doi.org/10.1016/j.ast.2025.110301

The datasets enable training, validation, and benchmarking of a surrogate model for transonic aerodynamic load prediction with quantified uncertainty. They include low-, mid-, and high-fidelity aerodynamic data for a finite wing test case in transonic conditions and a full eVTOL aircraft configuration.

1. Finite Wing – Benchmark Supercritical Wing (BSCW)





Design space: Mach number ∈ [0.70 , 0.84] and Angle of Attach AoA ∈ [0, 4] deg.




Low-fidelity (LF): 625 samples generated with XFoil (panel method with 3D corrections).




Mid-fidelity (MF): 49 RANS simulations with SU2 (coarse 2.5M-cell hybrid grid, Spalart–Allmaras turbulence model). Grid Convergence Index ≈ 5.4%.




High-fidelity (HF): 58 RANS simulations with SU2 (fine 15.6M-cell grid, GCI ≈ 0.6%). Of these, 7 samples were used for model fine-tuning, while 51 were retained as an independent HF test set.




Outputs: lift coefficient (CL) and pitching moment coefficient (CM) relative to 30% chord.



2. Full–Configuration eVTOL Vehicle





Geometry: 5-propeller configuration with four symmetric lift propellers (front/rear) and one tail-mounted pusher.


Design space: AoA ∈ [−180 , 180] deg, freestream velocity U ∈ [0 , 40] m/s, and propeller RPM up to ±4000.



Low-fidelity (LF): 2000 samples from Blade Element Momentum (BEM) methods with momentum-theory-based induced velocity corrections. 




Mid-fidelity (MF): 250 simulations using the DUST framework (Vortex Particle Method with nonlinear lifting-line). Between 30–40 lifting lines per blade; wing discretised with ~3000 panels per side.




Outputs: thrust (KT) and torque (KQ) coefficients for each of the five propellers.



PurposeThese datasets support the development of multi-fidelity machine-learning frameworks for transonic aerodynamics, providing training material for uncertainty-aware surrogate models. They are also relevant for applications in aeroelasticity, flight dynamics, and design of unconventional aircraft (e.g. eVTOLs).

Contents





Raw aerodynamic datasets at LF, MF, HF fidelities.




Partitioning into training, validation, and independent test sets as described in the paper.




Associated aerodynamic coefficients across Mach–AoA (BSCW) and AoA–velocity–RPM (eVTOL) parameter spaces.



KeywordsMulti-fidelity modelling; Bayesian neural networks; transfer learning; uncertainty quantification; Benchmark Supercritical Wing; eVTOL aerodynamics; CFD; reduced-order modelling.
DOI: 10.23729/fd-e491670d-751a-3e50-995d-0e6f08d8895f
title: Data for Potassium Recovery from Mechanochemically Activated Phlogopite via Ultrasound Assisted Leaching

description: Data for Potassium Recovery from Mechanochemically Activated Phlogopite via Ultrasound Assisted Leaching