cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.12608231
title: Drag, lift, and torque correlations for axi-symmetric rod-like non-spherical particles in linear wall-bounded shear flow

description: Data linked to the manuscript: Drag, lift, and torque coefficients of fixed axi-symmetric rod-like particles in linear wall-bounded shear flow

Authors:Victor Cheron, Berend van Wachem

Corresponding author:Berend.van.Wachem@gmail.com

FilesTemporally averaged drag, lift and torque coefficients are written in .txt files stored in the folder ResultsCoefficients.Python scripts used to plot the correlations are stored in the folder PythonScript.Two simulation results are provided in the folder SimulationResults.

Results and Coefficients

The .txt files are split per coefficient, aspect ratio and shear rate, which can be identified by the name of the .txt file.The results obtained for the torque coefficient of the particle of aspect ratio 2.5 for a uniform flow configuration are given in the file:Uniform-Torque-Angles-Size2-5.txt

The results obtained for the lift coefficient of the particle of aspect ratio 10 for a shear rate 0.2 configuration are given in the file:Shear02-Lift-Angles-Size10.txt

In the files, the results are ordered per orientation angle and particle Reynolds number. 

PythonScripts

The python scripts are split among three files:- Getter.py: this script reads the .txt files storing the coefficients.- ManuscriptCorrelations.py : this script returns the functions to read plot the correlations for the drag, lift and torque coefficients.- generalmain.py : calls the functions

The scripts Getter.py and ManuscriptCorrelations.py are called from the script generalmain.py file. This will return a 1D column vector ordering the variables used to derive thecorrelations:- Coefficients- Reynolds number- Orientation Angle- Dimensionless distance to the wall- Aspect ratio

Simulation Results

A simulation result is provided:- Aspect ratio 5, particle Reynolds number 100, orientation angles 30 and 150,  dimensionless distance 1.

The data of all fields (pressure, velocity, source terms from the particles) are stored in .h-files.

A .xmf reader is provided to read the simulation results in Paraview.

Data for one converged simulation time are provided due to storage limits.

 

AcknowledgmentsThis research was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Project-ID 448292913 and by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Project-ID 422037413 - TRR 287.
DOI: 10.5281/zenodo.11059468
title: Drag, lift, and torque correlations for axi-symmetric rod-like non-spherical particles in linear wall-bounded shear flow

description: Data linked to the manuscript: Drag, lift, and torque coefficients of fixed axi-symmetric rod-like particles in linear wall-bounded shear flow

Authors:Victor Cheron, Berend van Wachem

Corresponding author:Berend.van.Wachem@gmail.com

FilesTemporally averaged drag, lift and torque coefficients are written in .txt files stored in the folder ResultsCoefficients.Python scripts used to plot the correlations are stored in the folder PythonScript.Two simulation results are provided in the folder SimulationResults.

Results and Coefficients

The .txt files are split per coefficient, aspect ratio and shear rate, which can be identified by the name of the .txt file.The results obtained for the torque coefficient of the particle of aspect ratio 2.5 for a uniform flow configuration are given in the file:Uniform-Torque-Angles-Size2-5.txt

The results obtained for the lift coefficient of the particle of aspect ratio 10 for a shear rate 0.2 configuration are given in the file:Shear02-Lift-Angles-Size10.txt

In the files, the results are ordered per orientation angle and particle Reynolds number. 

PythonScripts

The python scripts are split among three files:- Getter.py: this script reads the .txt files storing the coefficients.- ManuscriptCorrelations.py : this script returns the functions to read plot the correlations for the drag, lift and torque coefficients.- generalmain.py : calls the functions

The scripts Getter.py and ManuscriptCorrelations.py are called from the script generalmain.py file. This will return a 1D column vector ordering the variables used to derive thecorrelations:- Coefficients- Reynolds number- Orientation Angle- Dimensionless distance to the wall- Aspect ratio

Simulation Results

A simulation result is provided:- Aspect ratio 5, particle Reynolds number 100, orientation angles 30 and 150,  dimensionless distance 1.

The data of all fields (pressure, velocity, source terms from the particles) are stored in .h-files.

A .xmf reader is provided to read the simulation results in Paraview.

Data for one converged simulation time are provided due to storage limits.

 

AcknowledgmentsThis research was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Project-ID 448292913 and by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Project-ID 422037413 - TRR 287.
DOI: 10.5281/zenodo.11059469
title: Drag, lift, and torque correlations for axi-symmetric rod-like non-spherical particles in linear wall-bounded shear flow

description: Data linked to the manuscript: Drag, lift, and torque coefficients of fixed axi-symmetric rod-like particles in linear wall-bounded shear flow

Authors:Victor Cheron, Berend van Wachem

Corresponding author:Berend.van.Wachem@gmail.com

FilesTemporally averaged drag, lift and torque coefficients are written in .txt files stored in the folder ResultsCoefficients.Python scripts used to plot the correlations are stored in the folder PythonScript.Two simulation results are provided in the folder SimulationResults.

Results and Coefficients

The .txt files are split per coefficient, aspect ratio and shear rate, which can be identified by the name of the .txt file.The results obtained for the torque coefficient of the particle of aspect ratio 2.5 for a uniform flow configuration are given in the file:Uniform-Torque-Angles-Size2-5.txt

The results obtained for the lift coefficient of the particle of aspect ratio 10 for a shear rate 0.2 configuration are given in the file:Shear02-Lift-Angles-Size10.txt

In the files, the results are ordered per orientation angle and particle Reynolds number. 

PythonScripts

The python scripts are split among three files:- Getter.py: this script reads the .txt files storing the coefficients.- ManuscriptCorrelations.py : this script returns the functions to read plot the correlations for the drag, lift and torque coefficients.- generalmain.py : calls the functions

The scripts Getter.py and ManuscriptCorrelations.py are called from the script generalmain.py file. This will return a 1D column vector ordering the variables used to derive thecorrelations:- Coefficients- Reynolds number- Orientation Angle- Dimensionless distance to the wall- Aspect ratio

Simulation Results

A simulation result is provided:- Aspect ratio 5, particle Reynolds number 100, orientation angles 30 and 150,  dimensionless distance 1.

The data of all fields (pressure, velocity, source terms from the particles) are stored in .h-files.

A .xmf reader is provided to read the simulation results in Paraview.

Data for one converged simulation time are provided due to storage limits.
DOI: 10.15468/dl.jmx9r6
title: Occurrence Download

description: A dataset containing 247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Ixora coccinea Comm. ex Lam."
 ]
}

 The dataset includes 247 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008315-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12544212
title: Outputs from fitted models across the cross-validation scenarios for 'Space-time species distribution modeling with opportunistic presence-only data: a case study of passerines in a protected area'

description: Three Zenodo repositories are linked to the preprint Space-time Species Distribution Modeling for Opportunistic Presence-Only Data: A Case Study of Passerines in a Protected Area  (Lasgorceux et al., unpublished, https://hal.science/hal-04616332):



Data, scripts and, code (Lasgorceux et al., Zenodo, https://doi.org/10.5281/zenodo.12545052)

Outputs from fitted models across the cross-validation scenarios (Lasgorceux et al., Zenodo, https://doi.org/10.5281/zenodo.12544212)

Supplementary information at (Lasgorceux et al., Zenodo, https://doi.org/10.5281/zenodo.12541412)


This repository contains the outputs from fitted models across the cross-validation scenarios.

In the folder Ouputs_cross_validation, each species is represented by a .RData file, numbered from 1 to 77 (excluding 7, which corresponds to Bombycilla garrulus; see the preprint for details). This dataset is specifically used to generate Figure 1, which shows the AUC of various cross-validation scenarios. To reproduce this figure in R, place all the files in the Results/Fitted_models folder and run the Models_Outputs.R script located in the Results folder of Lasgorceux et al., Zenodo, https://doi.org/10.5281/zenodo.12545052.

Note: These data have been separated due to memory requirements (23.14GB).
DOI: 10.5281/zenodo.12544211
title: Outputs from fitted models across the cross-validation scenarios for 'Space-time species distribution modeling with opportunistic presence-only data: a case study of passerines in a protected area'

description: Three Zenodo repositories are linked to the preprint Space-time Species Distribution Modeling for Opportunistic Presence-Only Data: A Case Study of Passerines in a Protected Area  (Lasgorceux et al., unpublished, https://hal.science/hal-04616332):



Data, scripts and, code (Lasgorceux et al., Zenodo, https://doi.org/10.5281/zenodo.12545052)

Outputs from fitted models across the cross-validation scenarios (Lasgorceux et al., Zenodo, https://doi.org/10.5281/zenodo.12544212)

Supplementary information at (Lasgorceux et al., Zenodo, https://doi.org/10.5281/zenodo.12541412)


This repository contains the outputs from fitted models across the cross-validation scenarios.

In the folder Ouputs_cross_validation, each species is represented by a .RData file, numbered from 1 to 77 (excluding 7, which corresponds to Bombycilla garrulus; see the preprint for details). This dataset is specifically used to generate Figure 1, which shows the AUC of various cross-validation scenarios. To reproduce this figure in R, place all the files in the Results/Fitted_models folder and run the Models_Outputs.R script located in the Results folder of Lasgorceux et al., Zenodo, https://doi.org/10.5281/zenodo.12545052.

Note: These data have been separated due to memory requirements (23.14GB).
DOI: 10.5284/1120008
title: Site Data from an Archaeological Excavation at Halfway Egg Farm, Iwade, Kent, 27th March and 13th April 2023

description: This digital archive comprises images, GIS, reports, site records and spreadsheet data from a programme of archaeological investigations at Halfway Egg Farm, Iwade, Kent. The work was undertaken by Wessex Archaeology on the 27th March and 13th April 2023.
DOI: 10.5281/zenodo.12545052
title: Data, scripts and code for 'Space-time species distribution modeling with opportunistic presence-only data: a case study of passerines in a protected area'

description: Three Zenodo repositories are linked to the preprint Space-time Species Distribution Modeling for Opportunistic Presence-Only Data: A Case Study of Passerines in a Protected Area  (Lasgorceux et al., unpublished, https://hal.science/hal-04616332):



Data, scripts, and code (Lasgorceux et al., Zenodo, https://doi.org/10.5281/zenodo.12545052)

Outputs from fitted models across the cross-validation scenarios (Lasgorceux et al., Zenodo, https://doi.org/10.5281/zenodo.12544212)

Supplementary information at (Lasgorceux et al., Zenodo, https://doi.org/10.5281/zenodo.12541412)


This repository contains data, scripts, and code. It is organized into two main directories: Materials and Methods, and Results.

Materials and Methods

The raw data can be accessed in the Materials_and_Methods/Data directory. The processed data used for modeling is available in Materials_and_Methods/Data_for_modeling/Data_for_modeling.RData. All scripts for data processing are located in Materials_and_Methods/Processing_scripts. The Plots_and_Figures directory includes illustrations of the data used for modeling, such as PCA correlation plots presented in Supplementary information. The main script for running the model for each species is Main_script.R.

Results

The Results directory contains three subdirectories and the script Models_Outputs.R. The Results/Fitted_models directory includes all .RData files with fitted models for each species. The script Models_Outputs.R generates all outputs (Figures, Tables, Numbers) included in the paper and additional results in the Supplementary Information, except for Figure 1 and AUC values. For these, refer to Lasgorceux et al., Zenodo, https://doi.org/10.5281/zenodo.12544212. The plots are stored in the Results/Plots folder, while Results/RData contains intermediate .RData files created by Models_Outputs.R to manage computational costs.
DOI: 10.5281/zenodo.12621675
title: Biomass production of experimental grassland communities in urban context within LandKlif project

description: Mixtures of grassland communities (three different compositions) were sown in urban experimental areas to compare in biodiversity and functioning to standard urban lawns (56 plots, 2 x 4 m each) in Munich and Weihenstephan in 2020. Two samples (20 x 20 cm) per experimental plot were clipped in August 2021, sorted by functional type, oven-dried and weighed. For integrity of the database, all field experimental units of this study are associated to Plot ID 7835_1_U, but the variable PlotID is deprecated.

LandKlif is funded by the Bavarian State Ministry of Science and the Arts within the Bavarian Climate Research Network (bayklif).  Within the five year funding period of bayklif, five interdisciplinary senior research associations and five junior research groups are be financed with a total sum of 18 million Euro. LandKliF, as one of the five interdisciplinary senior research associations, addresses the effects of climate change on biodiversity and ecosystem services in semi-natural, agricultural and urban landscapes.
DOI: 10.5281/zenodo.12621676
title: Biomass production of experimental grassland communities in urban context within LandKlif project

description: Mixtures of grassland communities (three different compositions) were sown in urban experimental areas to compare in biodiversity and functioning to standard urban lawns (56 plots, 2 x 4 m each) in Munich and Weihenstephan in 2020. Two samples (20 x 20 cm) per experimental plot were clipped in August 2021, sorted by functional type, oven-dried and weighed. For integrity of the database, all field experimental units of this study are associated to Plot ID 7835_1_U, but the variable PlotID is deprecated.

LandKlif is funded by the Bavarian State Ministry of Science and the Arts within the Bavarian Climate Research Network (bayklif).  Within the five year funding period of bayklif, five interdisciplinary senior research associations and five junior research groups are be financed with a total sum of 18 million Euro. LandKliF, as one of the five interdisciplinary senior research associations, addresses the effects of climate change on biodiversity and ecosystem services in semi-natural, agricultural and urban landscapes.
DOI: 10.15468/dl.tkvjad
title: Occurrence Download

description: A dataset containing 423 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sebastes inermis Cuvier, 1829",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 423 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008316-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17031/66827cbb29052
title: 2006 Tweedy et al. Salcombe Sargassum muticum records

description: The first reports of Sargassum muticum occurring in British waters coincided with a warning that this invasive alga may replace seagrass beds, particularly those of Zostera marina. Initial fears were allayed when subsequent research suggested that both species required different attachment substrata, and, therefore, S. muticum would be unable to replace Zostera beds on soft sediments. Here, however, we present evidence supporting the original warning: contrary to previous research we found that S. muticum is able to successfully colonise soft sediments and, furthermore, that the presence of Z. marina may aid attachment. The majority of S. muticum plants within Zostera beds studied at Salcombe, SW England, were found attached within the soft sediment; outside of the seagrass bed, however, this occurred in greatly reduced numbers. Therefore, we suggest that the presence of Z. marina may actually enhance S. muticum colonization of soft sediments, trapping drifting fragments and allowing viable algae to settle on the seagrass matrix in an otherwise unfavorable environment. The consequences for the invasion of seagrass beds by S. muticum may therefore be more severe than previously thought.
description: Part of MSFD NNS baseline data collation project (Jan 2016). Subset of a dataset as we were only pulling out records for a selection of INNS. Contains records for Sargassum muticum.
See Tweedley, J., Jackson, E.L. and Attrill, M.J., 2008. Zostera marina seagrass beds enhance the attachment of the invasive alga Sargassum muticum in soft sediments. Marine Ecology Progress Series, 354, pp.305-309 for original source.
DOI: 10.6084/m9.figshare.26145424
title: Chapter 3 Isotopic Data

description: Isotopic data and trace element data for zircon (U–Pb, Lu–Hf) and apatite (U–Pb)
DOI: 10.6084/m9.figshare.26145424.v1
title: Chapter 3 Isotopic Data

description: Isotopic data and trace element data for zircon (U–Pb, Lu–Hf) and apatite (U–Pb)
DOI: 10.15468/dl.2becz4
title: Occurrence Download

description: A dataset containing 145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fistularia petimba Lacepède, 1803",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 145 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008318-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5284/1120009
title: Site Data from an Archaeological Excavation at Heath House Lane, Hedge End, Southampton, Hampshire, November 2021

description: This digital archive comprises images, GIS and database data from an archaeological archaeological excavation at Heath House Lane, Hedge End, Southampton, Hampshire.The work was undertaken in November 2021, by Cotswold Archaeology.
DOI: 10.17031/668274fba657a
title: 1975 Holmes and Coughlan Southampton Water Ascidian fauna records

description: A collection of ascidian records from throughout Southampton water.  The morphology, diagnostic characteristics and distribution of these species are described.  Factors affecting the distribution of ascidians in the area are discussed.
description: Part of MSFD NNS baseline data collation project (Jan 2016). Subset of a dataset as we were only pulling out records for a selection of INNS. Contains records for Styela clava.
See 'The ascidian fauna of Southampton Water. In Proc. Hants. Field Club Archaeol. Soc (Vol. 30 pp. 9 -15).' for original data.
DOI: 10.15468/dl.bvjemz
title: Occurrence Download

description: A dataset containing 140 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acetes japonicus Kishinouye, 1905",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 140 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008320-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25430/researchdata.cab.unipd.it.00001319
title: Simultaneous Expression of Different Therapeutic Genes by Infection with Multiple Oncolytic HSV-1 Vectors

description: This file reports raw data relative to Figures 1-6 and Figures S1 and S2 of the manuscript entitled "Simultaneous Expression of Different Therapeutic Genes by Infection with Multiple Oncolytic HSV-1 Vectors", authored by Adriana Vitiello, Alberto Reale,Valeria Conciatori, Anna Vicco, Alfredo Garzino-Demo, Giorgio Palù, Cristina Parolin, Jens Von Einem, and Arianna Calistri
DOI: 10.15468/dl.marbss
title: Occurrence Download

description: A dataset containing 280 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Australian National Insect Collection - Euryglossinae Bee Expedition 2"
 ]
}

 The dataset includes 280 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008321-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18170/dvn/xyihjg
title: CFPS2020疫情相关工作模块部分变量

description: CFPS2020疫情相关工作模块部分变量： QCOVID601、QCOVID602、QCOVID603
DOI: 10.5281/zenodo.12622062
title: Düsseldorf Rathaus Apotheke

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963[Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.15468/dl.bzkuy7
title: Occurrence Download

description: A dataset containing 1606 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ruditapes philippinarum (A.Adams & Reeve, 1850)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1606 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008322-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17031/6682714dd5fb8
title: 2003-2004 Gilbey et al. River Thames Eriocheir sinensis records

description: A collection of Non-Native Species sightings from Victoria Gilbey. The species listed is Eriocheir sinensis.
description: Part of MSFD NNS baseline data collation project (Jan 2016). Subset of a dataset as we were only pulling out records for a selection of INNS. Contains records for Eriocheir sinensis.
See Gilbey, V., Attrill, M.J., Coleman, R.A. Juvenile Chinese mitten crabs (Eriocheir sinensis) in the Thames estuary: distribution, movement and possible interactions with the native crab Carcinus maenas . Biol Invasions 10, 67–77 (2008). https://doi.org/10.1007/s10530-007-9110-4 for original source.