cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18549092
title: Dataset and R code - Promoting oak (Quercus pubescens Willd.) seedling development: finding the balance between canopy opening and grass competition under water stress

description: Datasets and R code for the publication (preprint) : 



Promoting oak (Quercus pubescens Willd.) seedling development: finding the balance between canopy opening and grass competition under water stress


Solene Brasseur, Mathieu Santonja, Tanguy Sanet, Christine Ballini, Sylvie Dupouyet, Bernard Prevosto, Anne Bousquet-Melou

bioRxiv 2026.02.04.703752; doi: https://doi.org/10.64898/2026.02.04.703752
DOI: 10.5281/zenodo.18549093
title: Dataset and R code - Promoting oak (Quercus pubescens Willd.) seedling development: finding the balance between canopy opening and grass competition under water stress

description: Datasets and R code for the publication (preprint) : 



Promoting oak (Quercus pubescens Willd.) seedling development: finding the balance between canopy opening and grass competition under water stress


Solene Brasseur, Mathieu Santonja, Tanguy Sanet, Christine Ballini, Sylvie Dupouyet, Bernard Prevosto, Anne Bousquet-Melou

bioRxiv 2026.02.04.703752; doi: https://doi.org/10.64898/2026.02.04.703752
DOI: 10.48606/ku51b85zzd610zfc
title: Odor_screening_Or13a: Olfactory receptor responses of Or13a to pure odorants.
title: Datasets for "Olfactory receptor responses to pure odorants in Drosophila melanogaster"

description: The dataset "Odor_screening" contains calcium imaging data of seven different olfactory receptor (Or) neuron types of Drosophila melanogaster, measured on the antenna. 
The measured Or types are: Or10a, Or13a, Or22a, Or42b, Or47a, Or56a, Or92a.
Each folder with the title "Odor_screening_OrXXX" (XXX standing for the different numbers/letters of the Or types) contains the data of only one Or type. 
The README.txt is identical for all folders and Or types.
The folder of each Or type can be downloaded separately.
description: The Ors were stimulated with pure odorants (a large panel of 66 to 110 odorants). 
The ocurring calcium responses of the olfactory receptor neurons of each Or type were recorded as a fluorescence increase (or in a few cases as a decrease).
DOI: 10.48606/kaj3zzktst0wy8kr
title: Odor_screening_Or22a: Olfactory receptor responses of Or22a to pure odorants.
title: Datasets for "Olfactory receptor responses to pure odorants in Drosophila melanogaster"

description: The dataset "Odor_screening" contains calcium imaging data of seven different olfactory receptor (Or) neuron types of Drosophila melanogaster, measured on the antenna. 
The measured Or types are: Or10a, Or13a, Or22a, Or42b, Or47a, Or56a, Or92a.
Each folder with the title "Odor_screening_OrXXX" (XXX standing for the different numbers/letters of the Or types) contains the data of only one Or type. 
The README.txt is identical for all folders and Or types.
The folder of each Or type can be downloaded separately.
description: The Ors were stimulated with pure odorants (a large panel of 66 to 110 odorants). 
The ocurring calcium responses of the olfactory receptor neurons of each Or type were recorded as a fluorescence increase (or in a few cases as a decrease).
DOI: 10.11583/dtu.23925099
title: Dataset for: "Resolved large eddy simulations of a settling or rising spherical microplastic particle"

description: -The "settlingRisingVelocity.mat" is a MATLAB binary workspace file containing the diameter, density, and settling or rising velocity of all simulated microplastic particles, with their position and velocity time series and kinematic viscosity of the fluid.-The "settlingRising_main.zip" is a main simulation folder that can be manipulated for the specific case and used with present CFD-DEM coupling.-Example simulation videos for each microplastic particle are provided with the naming convention "S_X.mp4" for the settling microplastics and "R_X.mp4" for the rising microplastics, where “X” refers to the case number. Please note that the videos are low-quality when using the preview. For optimal quality, it is suggested to download the videos and play the files directly.Version 3: Updated Readme file to include the original article volume and article no., as well as BibTeX.
DOI: 10.11583/dtu.23925099.v3
title: Dataset for: "Resolved large eddy simulations of a settling or rising spherical microplastic particle"

description: -The "settlingRisingVelocity.mat" is a MATLAB binary workspace file containing the diameter, density, and settling or rising velocity of all simulated microplastic particles, with their position and velocity time series and kinematic viscosity of the fluid.-The "settlingRising_main.zip" is a main simulation folder that can be manipulated for the specific case and used with present CFD-DEM coupling.-Example simulation videos for each microplastic particle are provided with the naming convention "S_X.mp4" for the settling microplastics and "R_X.mp4" for the rising microplastics, where “X” refers to the case number. Please note that the videos are low-quality when using the preview. For optimal quality, it is suggested to download the videos and play the files directly.Version 3: Updated Readme file to include the original article volume and article no., as well as BibTeX.
DOI: 10.11583/dtu.23925099.v2
title: Dataset for: "Resolved large eddy simulations of a settling or rising spherical microplastic particle"

description: -The "settlingRisingVelocity.mat" is a MATLAB binary workspace file containing the diameter, density, and settling or rising velocity of all simulated microplastic particles, with their position and velocity time series and kinematic viscosity of the fluid.-The "settlingRising_main.zip" is a main simulation folder that can be manipulated for the specific case and used with present CFD-DEM coupling.-Example simulation videos for each microplastic particle are provided with the naming convention "S_X.mp4" for the settling microplastics and "R_X.mp4" for the rising microplastics, where “X” refers to the case number. Please note that the videos are low-quality when using the preview. For optimal quality, it is suggested to download the videos and play the files directly.
DOI: 10.5281/zenodo.18549184
title: Sheath thickness measurements with the biased plasma impedance probe: Agreement with Child–Langmuir scaling

description: Code and dataset associated with our paper: "Sheath thickness measurements with the biased plasma impedance probe: Agreement with Child–Langmuir scaling".  If you use this code or dataset in academic work, please cite our associated paper [not yet published at the time this repository is created].
DOI: 10.5281/zenodo.18549183
title: Sheath thickness measurements with the biased plasma impedance probe: Agreement with Child–Langmuir scaling

description: Code and dataset associated with our paper: "Sheath thickness measurements with the biased plasma impedance probe: Agreement with Child–Langmuir scaling".  If you use this code or dataset in academic work, please cite our associated paper [not yet published at the time this repository is created].
DOI: 10.5683/sp3/fvmqlk
title: Selective laser sintering of polyhydroxybutyrate: Influence of processing parameters and biocarbon reinforcement

description: Poly(3-hydroxybutyrate) (PHB) has generated noteworthy attention in the materials science community as a biodegradable polymer with desirable mechanical properties, presenting a possible alternative to petroleum-based plastics. However, the method of manufacturing PHB parts has been a significant limitation for its potential applications, particularly in the biomedical field, a sector where PHB shows great promise. Due to the nature of the biomedical field, complex shapes and use-specific geometries are required. To allow PHB to meet this criteria, additive manufacturing (AM), otherwise known as 3D printing, has been proposed. The most common form of 3D printing, fused deposition modelling (FDM), has proven unsuccessful with neat PHB due to the challenges in filament extrusion. As such, selective laser sintering (SLS) has been suggested as a solution. This AM method uses a laser to sinter polymer powders. In this study, experiments are carried out to determine the optimal conditions for the highest printability and greatest mechanical performance of SLS printed PHB. Subsequently, printer parameters were varied to optimize mechanical properties. Layer height was tested at 0.1 mm, 0.15 mm, and 0.2 mm; laser power was varied between 22 W, 25 W, and 28 W; and hatching distance was tested at 0.1 mm, 0.15 mm, and 0.2 mm. Lower layer height and hatching distance generated the strongest parts, with layer height having the greatest influence. Laser power exhibited a strengthening effect as it increased. Subsequently, PHB composites containing 2 and 5 wt.% wood biocarbon were fabricated and printed under the optimized conditions to assess the influence of biocarbon addition on part performance.
description: Origin
description: MS Excel
description: <b>Notes on OPJU files:</b> OPJU files are Origin/OriginPro project files. Origin is a data analysis and graphing software. To view the raw OPJU files, Origin software is required or you may use the free Origin Viewer to view the OPJU files.
<b>Notes on preservation files:</b> For preservation purposes, 'flat file' versions of the multi-spreadsheet Excel workbooks contained in this dataset have been created. The content of these Excel workbook files have been exported into preservation-friendly formats and stored in the Preservation Files zip archive.
DOI: 10.48606/gxhn3yv54gmezfbh
title: Odor_screening_Or22a_bestLigands_part3: Olfactory receptor responses of Or22a to some of the best ligands as pure odorants (part 3 of 3).
title: Datasets for "Olfactory receptor responses to pure odorants in Drosophila melanogaster"

description: The dataset "Odor_screening" contains calcium imaging data of seven different olfactory receptor (Or) neuron types of Drosophila melanogaster, measured on the antenna. 
The measured Or types are: Or10a, Or13a, Or22a, Or42b, Or47a, Or56a, Or92a.
Each folder with the title "Odor_screening_OrXXX" (XXX standing for the different numbers/letters of the Or types) contains the data of only one Or type. 
The README.txt is identical for all folders and Or types.
The folder of each Or type can be downloaded separately.
description: The Ors were stimulated with pure odorants (a large panel of 66 to 110 odorants). 
The ocurring calcium responses of the olfactory receptor neurons of each Or type were recorded as a fluorescence increase (or in a few cases as a decrease).
DOI: 10.25824/redu/ayrt6o
title: Experimental datasets related to the development and characterization of nanostructured polysaccharide-based biomaterials for 3D bioprinting applications

description: This dataset includes experimental data generated during a doctoral research project focused on polysaccharide-based hydrogels reinforced with cellulose nanocrystals (CNC) for extrusion-based 3D bioprinting applications aimed at cartilage tissue engineering. The data are organized into the following five experimental series: 1) Formulation selection: Rheological data (viscosity and oscillatory tests), qualitative stability assessment by inversion tube tests, and extrusion-based 3D printing assays used to evaluate printability and shape fidelity. 2) Sterilization analysis: Comparative rheological data before and after sterilization, microstructural analyses by scanning electron microscopy (SEM), mechanical compression tests, and thermal characterization by thermogravimetric analysis (TGA) and differential scanning calorimetry (DSC). 3) Crosslinking analysis: Long-term stability studies in cell culture medium and rheological characterization to assess the effects of crosslinking on material integrity and viscoelastic properties. 4) Biocompatibility assessment: In vitro cytocompatibility data obtained from MTT assays performed with hydrogel formulations and crosslinking agents, and spheroid fusion assays designed to evaluate spheroid behavior and fusion capacity in direct contact with the hydrogels. 5) 3D bioprinting: Data related to extrusion-based 3D bioprinting of cell-laden constructs, including post-printing cell viability and metabolic cell activity measurement. Data availability is restricted due to intellectual property protection. For additional information, please contact the responsible authors.
DOI: 10.5281/zenodo.18543737
title: ET Dataset for paper "A Novel Classifier-Guided Ensemble Framework for Global Terrestrial Evapotranspiration Estimates"

description: This dataset provides global monthly terrestrial evapotranspiration (ET) estimates with a spatial resolution of 0.1° × 0.1°, generated using a Classifier-Guided Ensemble model.
DOI: 10.5281/zenodo.18543738
title: ET Dataset for paper "A Novel Classifier-Guided Ensemble Framework for Global Terrestrial Evapotranspiration Estimates"

description: This dataset provides global monthly terrestrial evapotranspiration (ET) estimates with a spatial resolution of 0.1° × 0.1°, generated using a Classifier-Guided Ensemble model.
DOI: 10.48606/ekt03c2g9q45sphc
title: Odor_screening_Or22a_bestLigands_part2: Olfactory receptor responses of OR22a to some of the best ligands as pure odorants (part 2 of 3).
title: Datasets for "Olfactory receptor responses to pure odorants in Drosophila melanogaster"

description: The dataset "Odor_screening" contains calcium imaging data of seven different olfactory receptor (Or) neuron types of Drosophila melanogaster, measured on the antenna. 
The measured Or types are: Or10a, Or13a, Or22a, Or42b, Or47a, Or56a, Or92a.
Each folder with the title "Odor_screening_OrXXX" (XXX standing for the different numbers/letters of the Or types) contains the data of only one Or type. 
The README.txt is identical for all folders and Or types.
The folder of each Or type can be downloaded separately.
description: The Ors were stimulated with pure odorants (a large panel of 66 to 110 odorants). 
The ocurring calcium responses of the olfactory receptor neurons of each Or type were recorded as a fluorescence increase (or in a few cases as a decrease).
DOI: 10.48606/jzycxwnmjzvd0w12
title: Odor_screening_Or22a_bestLigands_part1: Olfactory receptor responses of Or22a to some of the best ligands as pure odorants (part 1 of 3).
title: Datasets for "Olfactory receptor responses to pure odorants in Drosophila melanogaster"

description: The dataset "Odor_screening" contains calcium imaging data of seven different olfactory receptor (Or) neuron types of Drosophila melanogaster, measured on the antenna. 
The measured Or types are: Or10a, Or13a, Or22a, Or42b, Or47a, Or56a, Or92a.
Each folder with the title "Odor_screening_OrXXX" (XXX standing for the different numbers/letters of the Or types) contains the data of only one Or type. 
The README.txt is identical for all folders and Or types.
The folder of each Or type can be downloaded separately.
description: The Ors were stimulated with pure odorants (a large panel of 66 to 110 odorants). 
The ocurring calcium responses of the olfactory receptor neurons of each Or type were recorded as a fluorescence increase (or in a few cases as a decrease).
description: The Or22a_bestLigands dataset is split into three parts, to reduce size of each part: 
Part 1 comprises part of the raw imaging data, all meta data and processed data folders, which is most interesting for future analysis, while Part 2 and 3 contain the rest of the raw imaging data.
DOI: 10.15468/dl.2cr4pk
title: Occurrence Download

description: A dataset containing 1460163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Quercus rotundifolia)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1460163 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002649-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15159/phytop.193
title: Kurgjärv

description: Phytoplankton biomass, diversity and abundance in samples collected from Lake Kurgjärv during the period 1961-2011.
DOI: 10.34740/kaggle/dsv/13905348
title: Cotton_Real_Field_Dataset
DOI: 10.15468/dl.fn5jzk
title: Occurrence Download

description: A dataset containing 2350 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "Geometry POLYGON((-112.59054 -18.34924,-38.40946 -18.34924,-38.40946 11.34924,-112.59054 11.34924,-112.59054 -18.34924))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Leptosittaca branickii"
 ]
}

 The dataset includes 2350 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002706-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nstq6v
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ipomoea salsettensis",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002705-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18068666
title: Data for: "NANOENCAPSULATION OF 5-FLUOROURACIL IN DERMATAN SULFATE/CHITOSAN NANOPARTICLES IMPROVES TUMOR TREATMENT IN COLORECTAL CANCER"

description: This repository contains data associated with the results presented in Blachman, A., Birocco, A., Poodts, D., Fábrega-Puentes, A., Subrati, A., Di Gianvincenzo, P., Moya, S., and Calabrese, C.: "Nanoencapsulation of 5-Fluorouracil in Dermatan Sulfate/Chitosan nanoparticles improves tumor treatment in colorectal cancer"
DOI: 10.5281/zenodo.18068667
title: Data for: "NANOENCAPSULATION OF 5-FLUOROURACIL IN DERMATAN SULFATE/CHITOSAN NANOPARTICLES IMPROVES TUMOR TREATMENT IN COLORECTAL CANCER"

description: This repository contains data associated with the results presented in Blachman, A., Birocco, A., Poodts, D., Fábrega-Puentes, A., Subrati, A., Di Gianvincenzo, P., Moya, S., and Calabrese, C.: "Nanoencapsulation of 5-Fluorouracil in Dermatan Sulfate/Chitosan nanoparticles improves tumor treatment in colorectal cancer"
DOI: 10.48606/qu35tk9hs834rugm
title: Odor_screening_Or42b: Olfactory receptor responses of Or42b to pure odorants.
title: Datasets for "Olfactory receptor responses to pure odorants in Drosophila melanogaster"

description: The dataset "Odor_screening" contains calcium imaging data of seven different olfactory receptor (Or) neuron types of Drosophila melanogaster, measured on the antenna. 
The measured Or types are: Or10a, Or13a, Or22a, Or42b, Or47a, Or56a, Or92a.
Each folder with the title "Odor_screening_OrXXX" (XXX standing for the different numbers/letters of the Or types) contains the data of only one Or type. 
The README.txt is identical for all folders and Or types.
The folder of each Or type can be downloaded separately.
description: The Ors were stimulated with pure odorants (a large panel of 66 to 110 odorants). 
The ocurring calcium responses of the olfactory receptor neurons of each Or type were recorded as a fluorescence increase (or in a few cases as a decrease).
DOI: 10.48606/697b6mgtc1fpcm38
title: Odor_screening_Or47a: Olfactory receptor responses of Or47a to pure odorants.
title: Datasets for "Olfactory receptor responses to pure odorants in Drosophila melanogaster"

description: The dataset "Odor_screening" contains calcium imaging data of seven different olfactory receptor (Or) neuron types of Drosophila melanogaster, measured on the antenna. 
The measured Or types are: Or10a, Or13a, Or22a, Or42b, Or47a, Or56a, Or92a.
Each folder with the title "Odor_screening_OrXXX" (XXX standing for the different numbers/letters of the Or types) contains the data of only one Or type. 
The README.txt is identical for all folders and Or types.
The folder of each Or type can be downloaded separately.
description: The Ors were stimulated with pure odorants (a large panel of 66 to 110 odorants). 
The ocurring calcium responses of the olfactory receptor neurons of each Or type were recorded as a fluorescence increase (or in a few cases as a decrease).
DOI: 10.13140/rg.2.2.11136.08961
title: research-layer-pipeline-v1.0.0.tar
DOI: 10.15468/dl.dk4y55
title: Occurrence Download

description: A dataset containing 443 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Aristida pansa"
 ]
}

 The dataset includes 443 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002707-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18549213
title: Dynamic Interactions and Threshold Effects among Urbanization, Economic Development, and Household Consumption: Evidence from China

description: Data_Panel_2000_2023_Cleaned balanced panel data.dta

01_install_packages.do

02_main_analysis.do
DOI: 10.5281/zenodo.18549212
title: Dynamic Interactions and Threshold Effects among Urbanization, Economic Development, and Household Consumption: Evidence from China

description: Data_Panel_2000_2023_Cleaned balanced panel data.dta

01_install_packages.do

02_main_analysis.do
DOI: 10.15468/dl.v7tsc6
title: Occurrence Download

description: A dataset containing 17 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'EC'
 AND GBIF_WITHIN('POLYGON((-161.37316 -31.57146,-10.05323 -31.57146,-10.05323 29.00965,-161.37316 29.00965,-161.37316 -31.57146))', occurrence.decimallatitude, occurrence.decimallongitude) = TRUE
 AND occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND occurrence.occurrencestatus = 'PRESENT'
 AND GBIF_STRINGARRAYCONTAINS(occurrence.classifications['d7dddbf4-2cf0-4f39-9b2a-bb099caae36c'], '9057356', TRUE)
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.classificationdetails['d7dddbf4-2cf0-4f39-9b2a-bb099caae36c']['specieskey'] &lt;&gt; '' AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 17 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002656-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.