cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15316035
title: Surface mesh of the TUDELFT_V3_KITE CAD with edge fillets.

description: A surface mesh representing the TUDELFT_V3_KITE at true scale is present. Unlike the real kite, edge fillets are added, the trailing edge connecting the upper and lower surfaces is rounded and no bridle lines are present.It was initially developed in 2022 for aerodynamic CFD simulations, and used in a MSc Thesis by G. Lebesque titled: Steady-state RANS simulation of a leading edge inflatable wing with chordwise struts. This work was published as: Viré A., Lebesque G., Folkersma M., Schmehl R. (2022) Effect of Chordwise Struts and Misaligned Flow on the Aerodynamic Performance of a Leading-Edge Inflatable Wing. Energies 15(4): 1450. https://doi.org/10.3390/en15041450

The current file is no longer identical to the one used for CFD simulations in the paper mentioned above, but has been rotated, translated, and axis transformed. To adhere to the paper: Poland, J. A. W., van Spronsen, J. M., Mac Gaunaa, & Schmehl, R. (2025). Wind tunnel load measurements of a leading‐edge inflatable kite rigid scale model. Wind Energy Science. (add doi)Rotation was done by pitching the wing at an angle of 1.02°, such that the mid-span chord line (used to define the angle of attack) was parallel to the horizontal plane. Translation has been done to set the leading-edge point at mid-span at the origin. Finally, the axis transformation has been applied to adhere to the definition employed by the Vortex-Step Method, and the wind tunnel experiment. The new axis has the x-axis defined from the leading edge to the trailing edge, parallel to the mid-span chord line. The y-axis is described in the spanwise direction to the left, when looking from the front (in the positive x direction). The z-axis is defined upwards, when looking from the front (in the positive x direction).This research has been supported by the Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO) under grant number 17628.
DOI: 10.5281/zenodo.15316036
title: Surface mesh of the TUDELFT_V3_KITE CAD with edge fillets.

description: A surface mesh representing the TUDELFT_V3_KITE at true scale is present. Unlike the real kite, edge fillets are added, the trailing edge connecting the upper and lower surfaces is rounded and no bridle lines are present.It was initially developed in 2022 for aerodynamic CFD simulations, and used in a MSc Thesis by G. Lebesque titled: Steady-state RANS simulation of a leading edge inflatable wing with chordwise struts. This work was published as: Viré A., Lebesque G., Folkersma M., Schmehl R. (2022) Effect of Chordwise Struts and Misaligned Flow on the Aerodynamic Performance of a Leading-Edge Inflatable Wing. Energies 15(4): 1450. https://doi.org/10.3390/en15041450

The current file is no longer identical to the one used for CFD simulations in the paper mentioned above, but has been rotated, translated, and axis transformed. To adhere to the paper: Poland, J. A. W., van Spronsen, J. M., Mac Gaunaa, & Schmehl, R. (2025). Wind tunnel load measurements of a leading‐edge inflatable kite rigid scale model. Wind Energy Science. (add doi)Rotation was done by pitching the wing at an angle of 1.02°, such that the mid-span chord line (used to define the angle of attack) was parallel to the horizontal plane. Translation has been done to set the leading-edge point at mid-span at the origin. Finally, the axis transformation has been applied to adhere to the definition employed by the Vortex-Step Method, and the wind tunnel experiment. The new axis has the x-axis defined from the leading edge to the trailing edge, parallel to the mid-span chord line. The y-axis is described in the spanwise direction to the left, when looking from the front (in the positive x direction). The z-axis is defined upwards, when looking from the front (in the positive x direction).This research has been supported by the Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO) under grant number 17628.
DOI: 10.15468/dl.b4pexw
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echinochloa crus-galli",
 "Country is Cuba",
 "HasCoordinate is true"
 ]
}

 The dataset includes 33 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034822-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.64cgy6
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echinochloa crus-galli",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 76 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034824-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3dqxnh
title: Occurrence Download

description: A dataset containing 804 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echinochloa crus-galli",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 804 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034823-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eeag6v
title: Occurrence Download

description: A dataset containing 9421 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 {
 "or" : [
 "Geometry POLYGON((36.73855 8.12994,171.26145 8.12994,171.26145 61.87006,36.73855 61.87006,36.73855 8.12994))",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Sparganium emersum"
 ]
}

 The dataset includes 9421 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034825-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8xs7h7
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echinochloa crus-galli",
 "Country is Senegal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034827-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gzaq66
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echinochloa crus-galli",
 "Country is Tunisia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034828-250811113504898/datasets/export for details.
DOI: 10.15468/dl.36v3cm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echinochloa crus-galli",
 "Country is Niue",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034826-250811113504898/datasets/export for details.
DOI: 10.5281/zenodo.16925758
title: Machine learning models for leading-edge inflatable airfoil aerodynamics

description: This repository contains the trained machine learning models for predicting the aerodynamic performance of leading-edge inflatable (LEI) kite profiles, an output of the MSc thesis of K.R.G. Masure. The models are based on Extra Trees regression and allow fast estimation of lift, drag, and moment coefficients directly from geometric parameters.

The models were trained on a large set of two-dimensional CFD results (included in a separate Zenodo dataset) covering a range of profile geometries, angles of attack, and Reynolds numbers. Each model file corresponds to a specific Reynolds number:





ET_re1e6.pkl – Reynolds number 1×10⁶




ET_re5e6.pkl – Reynolds number 5×10⁶




ET_re2e7.pkl – Reynolds number 2×10⁷



Predictions are nearly instantaneous once the models are loaded, making them suitable for rapid aerodynamic evaluations and for use as input in kite simulation frameworks, such as the vortex step method (VSM).

Two Python files are included that (a) create an airfoil geometry from a set of parameters and (b) run one of the machine learning models using the defined set of parameters and plotting the lift, drag, and moment coefficient as a function of alpha.To run the Python files, two dependencies have to be installed: "numpy" and "matplotlib".

Key features:





Geometry-based input using non-dimensional parameters (thickness, camber position, camber height, reflex angle, camber tension, leading edge curvature)


Fast and accurate aerodynamic predictions (R² > 0.98 across all Reynolds numbers)



An open-accessible code base used to develop and train the models and the CFD training data itself..
DOI: 10.5281/zenodo.16925759
title: Machine learning models for leading-edge inflatable airfoil aerodynamics

description: This repository contains the trained machine learning models for predicting the aerodynamic performance of leading-edge inflatable (LEI) kite profiles, an output of the MSc thesis of K.R.G. Masure. The models are based on Extra Trees regression and allow fast estimation of lift, drag, and moment coefficients directly from geometric parameters.

The models were trained on a large set of two-dimensional CFD results (included in a separate Zenodo dataset) covering a range of profile geometries, angles of attack, and Reynolds numbers. Each model file corresponds to a specific Reynolds number:





ET_re1e6.pkl – Reynolds number 1×10⁶




ET_re5e6.pkl – Reynolds number 5×10⁶




ET_re2e7.pkl – Reynolds number 2×10⁷



Predictions are nearly instantaneous once the models are loaded, making them suitable for rapid aerodynamic evaluations and for use as input in kite simulation frameworks, such as the vortex step method (VSM).

Two Python files are included that (a) create an airfoil geometry from a set of parameters and (b) run one of the machine learning models using the defined set of parameters and plotting the lift, drag, and moment coefficient as a function of alpha.To run the Python files, two dependencies have to be installed: "numpy" and "matplotlib".

Key features:





Geometry-based input using non-dimensional parameters (thickness, camber position, camber height, reflex angle, camber tension, leading edge curvature)


Fast and accurate aerodynamic predictions (R² > 0.98 across all Reynolds numbers)



An open-accessible code base used to develop and train the models and the CFD training data itself..
DOI: 10.34894/jqzsh2
title: Mood and Emotional Reactivity of Adolescents During the COVID-19 Pandemic: Short-Term Effects and Long-Term Effects and the Impact of Social and Socioeconomic Stressors_Data File: Adolescent Sample (complete dataset)

description: This data file contains the data used for the regression and moderation analyses on emotional reactivity and the impact of social and socioeconomic stressors within the adolescent sample in the article 'Mood and Emotional Reactivity of Adolescents During the COVID-19 Pandemic: Short-Term Effects and Long-Term Effects and the Impact of Social and Socioeconomic Stressors'. &lt;div&gt;&lt;br&gt;&lt;/div&gt;

&lt;p&gt;&lt;/p&gt;
&lt;div&gt;Files are accessible to the authors of the study. Interested parties can request access by e-mailing green@essb.eur.nl or crone@essb.eur.nl. When requesting the data, please explain why you would like to access the files.&lt;br&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;/div&gt;
description: This entry is a one-file data package totaling 65.5 MB, containing a file in .sav format.If you use this dataset, please cite: Green, Kayla; van de Groep, Suzanne; Sweijen, Sophie; Becht, Andrik; Buijzen, Moniek; N.H. de Leeuw, Rebecca; et al. (2021). Mood and Emotional Reactivity of Adolescents During the COVID-19 Pandemic: Short-Term Effects and Long-Term Effects and the Impact of Social and Socioeconomic Stressors_Data File: Adolescent Sample (complete dataset). Erasmus University Rotterdam (EUR). Dataset. https://doi.org/10.25397/eur.14717208
DOI: 10.15468/dl.cbnmwn
title: Occurrence Download

description: A dataset containing 244423 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Echinochloa crus-galli"
 ]
}

 The dataset includes 244423 records from 2111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034793-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15277607
title: TABLE 1 in Discovery and formal description of the female of Microphotina Beier, 1935 (Mantodea: Photinaidae), with an updated key to species and remarks on the role of Citizen Science in advancing Mantodea biodiversity studies

description: TABLE 1. Measurements of studied females (mm).
SpecimenFemale 1 cFemale 2 dFemale 3Female 4Female 5Body lengtha2934323129Head Length3.633.753.713.743.45Head Width5.565.75.775.695.35Lower Frons width2.242.252.282.362.07Lower Frons length0.410.410.410.40.39Pronotal length (prozona + metazona)9.6910.1010.3310.519.37Prozona2.792.892.922.982.65Metazona6.97.217.417.536.72Pronotal width2.732.772.822.82.54Ratio metazona/prozona2.472.492.532.532.54Forewing Length14.3714.615.2415.3413.99Hindwing Length12.29----Hindwig Width8.11----Forecoxal Length6.586.966.927.086.6Forecoxal Width1.021.341.041.12-Forefemoral Length8.428.738.478.97.89Forefemoral Width1.832.001.971.661.51Foretibia Lengthb3.894.074.154.264.14Foretibia Length (with tibial spur)5.15.355.675.795.02Mesofemur Length8.38.478.448.967.67Mesotibia Length6.246.796.947.246.38Mesotarsus Length3.96----Metafemur Length-9.189.199.458.52Metatibia Length9.9110.5110.3210.899.66
aApproximated; body length measurements may vary due to the non-rigid nature of the abdomen.
bAs measured from the proximal bend of the tibia to the metatarsal insertion.
cSpecimen portrayed in Fig. 1C
dSpecimen portrayed in Fig. 1D
description: Published as part of Rivera, Julio, Hausherr, Nicolas & Lanna, Leonardo Moutinho, 2025, Discovery and formal description of the female of Microphotina Beier, 1935 (Mantodea: Photinaidae), with an updated key to species and remarks on the role of Citizen Science in advancing Mantodea biodiversity studies, pp. 234 in Zootaxa 5621 (2) on page 234, DOI: 10.11646/zootaxa.5621.2.4, http://zenodo.org/record/15262552
DOI: 10.15468/dl.mscstt
title: Occurrence Download

description: A dataset containing 264 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bactrocera carambolae Drew & Hancock, 1994",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Machine Observation, Unknown evidence)"
 ]
 }
 },
 {
 "not" : {
 "InstitutionCode" : [
 "is one of (iNaturalist)"
 ]
 }
 }
 ]
}

 The dataset includes 264 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012112-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.79yb5g
title: Occurrence Download

description: A dataset containing 22287 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((30.30387 -7.427288, 33.18264 -7.427288, 33.18264 -4.182004, 30.30387 -4.182004, 30.30387 -7.427288))"
 ]
}

 The dataset includes 22287 records from 173 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004129-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9bgshh
title: Occurrence Download

description: A dataset containing 28510 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Falco vespertinus Linnaeus, 1766",
 "HasCoordinate is true",
 "Year is greater than 1989",
 "Year is less than 2026",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is Absent"
 ]
 }
 },
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 28510 records from 169 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004130-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15454629
title: FIShBOT Archive 2025-05-18

description: This dataset is a static snapshot of the FIShBOT data product before new data are aggregated. This version of fishbot is archived for reproducibility and is not updated. The data are aggregated from the FIShBOT system, which collects and processes oceanographic from fishery dependent and independent sources.
DOI: 10.5281/zenodo.15454630
title: FIShBOT Archive 2025-05-18

description: This dataset is a static snapshot of the FIShBOT data product before new data are aggregated. This version of fishbot is archived for reproducibility and is not updated. The data are aggregated from the FIShBOT system, which collects and processes oceanographic from fishery dependent and independent sources.
DOI: 10.15468/dl.y9asvr
title: Occurrence Download

description: A dataset containing 32947 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficedula albicollis (Temminck, 1815)",
 "HasCoordinate is true",
 "Year is greater than 1989",
 "Year is less than 2026",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is Absent"
 ]
 }
 },
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 32947 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004132-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6q5q2b
title: Occurrence Download

description: A dataset containing 502470 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Arboridia apicalis (Nawa, 1913), Cicadella viridis (Linnaeus, 1758), Alebrasca actinidiae Hayashi & Okada, 1994, Martes flavigula (Boddaert, 1785), Machaerota punctatonervosa Signoret, 1879, Pteropus seychellensis comorensis Nicoll, 1908, Paragalago zanzibaricus (Matschie, 1893), Loxodonta africana (Blumenbach, 1797), Epomophorus wahlbergi (Sundevall, 1846), Pternistis afer (P.L.S.Müller, 1776), Broadleysaurus major (Duméril, 1851), Poicephalus fuscicollis (Kuhl, 1820), Bycanistes brevis Friedmann, 1929, Genetta maculata (Gray, 1830), Stigmochelys pardalis (Bell, 1828), Lophoceros alboterminatus Büttikofer, 1889, Otolemur garnettii (Ogilby, 1838), Civettictis civetta (Schreber, 1776), Colobus angolensis Sclater, 1860, Hystrix africaeaustralis Peters, 1852, Ploceus cucullatus (Statius Muller, 1776), Ichneumia albicauda (G.Cuvier, 1829), Sylvicapra grimmia (Linnaeus, 1758), Neotragus moschatus (Von Dueben, 1846), Papio cynocephalus (Linnaeus, 1766), Treron calvus (Temminck, 1811), Eidolon helvum (Kerr, 1792), Cricetomys gambianus Waterhouse, 1840, Poicephalus meyeri (Cretzschmar, 1827), Kinixys belliana Gray, 1831, Nandinia binotata (Gray, 1830), Cercopithecus mitis Wolf, 1822, Charaxes virilis Rothschild, 1900, Polyura athamas (Drury, 1773), Polyura schreiber, Charaxes bernardus (Fabricius, 1793), Cheritra freja (Fabricius, 1793), Polyura hebe (Butler, 1865), Oraesia emarginata (Fabricius, 1794), Bematistes aganice Hewitson, 1852, Oraesia provocans Walker, Acraea caecilia Fabricius, 1781, Acraea aganice Hewitson, 1852, Acraea caldarena Hewitson, 1877, Acraea quadricolor Rogenhofer, 1891, Acraea zetes Linnaeus, 1758, Acraea natalica Boisduval, 1847, Acraea neobule Doubleday, 1847, Myonycteris angolensis, Myonycteris torquata (Dobson, 1878))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 502470 records from 948 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004123-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11853803
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.ux39qc
title: Occurrence Download

description: A dataset containing 21451 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Ecuador",
 "Geometry POLYGON((-78.30804 -0.01153,-79.79277 -1.15363,-78.7249 -3.14089,-76.86327 -1.86174,-76.52064 -1.01087,-77.02888 -0.16571,-78.30804 -0.01153))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 21451 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004135-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9caax7
title: Occurrence Download

description: A dataset containing 35484 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Ecuador",
 "Geometry POLYGON((-79.22351 -0.51619,-79.98365 -1.10106,-79.34296 -1.91007,-78.09958 -2.09077,-76.79104 -1.46637,-76.63901 -0.81872,-76.68788 -0.44407,-76.95936 -0.35873,-76.88877 -0.03142,-77.48603 0.1749,-78.26789 0.05935,-79.22351 -0.51619))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepidoptera"
 ]
}

 The dataset includes 35484 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004137-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ruu636
title: Occurrence Download

description: A dataset containing 824303 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficedula hypoleuca (Pallas, 1764)",
 "HasCoordinate is true",
 "Year is greater than 1989",
 "Year is less than 2026",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is Absent"
 ]
 }
 },
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 824303 records from 393 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004134-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hhzrdj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Osmeriformes",
 "Geometry POLYGON ((7.9186 1.8496, 7.918 1.8981, 7.6701 2.1458, 7.2444 2.1771, 6.9224 1.8988, 6.9096 1.8496, 7.9186 1.8496))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008194-250525065834625/datasets/export for details.