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

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 {
 "or" : [
 "Country is Mexico",
 "Country is Guatemala",
 "Country is United States of America"
 ]
 },
 {
 "or" : [
 "Issue is Geodetic datum assumed WGS84",
 "Issue is Coordinate rounded"
 ]
 },
 {
 "or" : [
 "DatasetKey is UTA Reptiles",
 "DatasetKey is Brigham Young University (BYU) Herpetology Collection (Arctos)",
 "DatasetKey is Herpetofauna del Estado de Veracruz",
 "DatasetKey is Field Museum of Natural History (Zoology) Amphibian and Reptile Collection",
 "DatasetKey is University of Michigan Museum of Zoology, Division of Reptiles & Amphibians",
 "DatasetKey is Herps Specimens",
 "DatasetKey is NMNH Extant Specimen Records (USNM, US)",
 "DatasetKey is Coleccion de Herpetologia, MZFC-UNAM"
 ]
 },
 "TaxonKey is Abronia Gray, 1838"
 ]
}

 The dataset includes 99 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013202-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.njza8q
title: Occurrence Download

description: A dataset containing 552 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Odontarrhena corsica (Duby) Španiel, Al-Shehbaz, D.A.German & Marhold"
 ]
}

 The dataset includes 552 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064028-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.flcxwl
title: Occurrence Download

description: A dataset containing 206 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Exomalopsis auropilosa Spinola, 1853"
 ]
}

 The dataset includes 206 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010199-171124123535762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4cgn98
title: Occurrence Download

description: A dataset containing 1078387 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Syzygium luzonense (Merr.) Merr., Fusifilum montanum (A.P.Dold & E.Brink) Mart.-Azorín, M.B.Crespo, M.Pinter & Wetschnig, Lauraceae, Pomaderris wendlandiana (Roem. & Schult.) G.Don, Ixeridium sagittarioides (C.B.Clarke) Pak & Kawano)"
 ]
}

 The dataset includes 1078387 records from 2158 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064050-231120084113126/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.23276420
title: Data for Jodry et al. (2023)

description: Mechanical data accompanying Jodry et al. (2023). In the file name, "uni" stands for uniaxial. The first number in the file name is the block number (e.g., BL), and the second number is the sample number (e.g., 1). Finally, "d" stands for dry. <br> Temps(s) - time in seconds sigV(MPa) - axial stress in MPa DefLVDT - axial strain from LVDT Defaxjauge - axial strain from strain gage (not used here) Defradjauge - radial strain from strain gage (not used here) Defvoljauge - volumetric strain from strain gage (not used here)<br> DeplctLVDT(um) - axial displacement in microns
DOI: 10.6084/m9.figshare.23276420.v1
title: Data for Jodry et al. (2023)

description: Mechanical data accompanying Jodry et al. (2023). In the file name, "uni" stands for uniaxial. The first number in the file name is the block number (e.g., BL), and the second number is the sample number (e.g., 1). Finally, "d" stands for dry. <br> Temps(s) - time in seconds sigV(MPa) - axial stress in MPa DefLVDT - axial strain from LVDT Defaxjauge - axial strain from strain gage (not used here) Defradjauge - radial strain from strain gage (not used here) Defvoljauge - volumetric strain from strain gage (not used here)<br> DeplctLVDT(um) - axial displacement in microns
DOI: 10.5281/zenodo.7994361
title: Attitude Corrected Broadband Radiation and LibRadtran Simulation data based on helicopter-borne observations during MOSAiC

description: This data set includes broadband radiation measurements after attitude correction of 14 research flights during MOSAiC.<br> In total 12 helicopter and 2 HELiPOD flights. Supportive data includes relative azimuth to sun position to identify shading effects on the CMP22 pyranometer installed.<br> Furthermore, libRadtran simulations are provided to validate cloudfree flights or flightsections.<br> In connection with surface type classifications (e.g. Sperzel, Tim R; Jäkel, Evelyn; Lampert, Astrid; Birnbaum, Gerit; Pätzold, Falk; Neckel, Niklas; Rosenburg, Sophie; Fuchs, Niels; Wendisch, Manfred (2023): Surface type classifications from helicopter-borne imagery during the MOSAiC expedition. PANGAEA, https://doi.org/10.1594/PANGAEA.958997) multiple linear regression can be applied as described by Sperzel, T. R. Codes for: Surface Albedo Measurements and Surface Type Classification from Helicopter-based Observa371<br> tions during MOSAiC, https://doi.org/10.5281/zenodo.7974021 (2023), which results in albedo values per fraction (e.g. Sperzel, Tim R; Jäkel, Evelyn; Lampert, Astrid; Birnbaum, Gerit; Pätzold, Falk; Neckel, Niklas; Rosenburg, Sophie; Fuchs, Niels; Wendisch, Manfred (2023): Helicopter-borne solar broadband irradiance measurements from the MOSAiC expedition. PANGAEA, https://doi.org/10.1594/PANGAEA.958999).<br> Radiation data file names start with "BBR_&lt;date&gt;", simulation file names with "BBR_fdn_clear".
DOI: 10.5281/zenodo.7994360
title: Attitude Corrected Broadband Radiation and LibRadtran Simulation data based on helicopter-borne observations during MOSAiC

description: This data set includes broadband radiation measurements after attitude correction of 14 research flights during MOSAiC.<br> In total 12 helicopter and 2 HELiPOD flights. Supportive data includes relative azimuth to sun position to identify shading effects on the CMP22 pyranometer installed.<br> Furthermore, libRadtran simulations are provided to validate cloudfree flights or flightsections.<br> In connection with surface type classifications (e.g. Sperzel, Tim R; Jäkel, Evelyn; Lampert, Astrid; Birnbaum, Gerit; Pätzold, Falk; Neckel, Niklas; Rosenburg, Sophie; Fuchs, Niels; Wendisch, Manfred (2023): Surface type classifications from helicopter-borne imagery during the MOSAiC expedition. PANGAEA, https://doi.org/10.1594/PANGAEA.958997) multiple linear regression can be applied as described by Sperzel, T. R. Codes for: Surface Albedo Measurements and Surface Type Classification from Helicopter-based Observa371<br> tions during MOSAiC, https://doi.org/10.5281/zenodo.7974021 (2023), which results in albedo values per fraction (e.g. Sperzel, Tim R; Jäkel, Evelyn; Lampert, Astrid; Birnbaum, Gerit; Pätzold, Falk; Neckel, Niklas; Rosenburg, Sophie; Fuchs, Niels; Wendisch, Manfred (2023): Helicopter-borne solar broadband irradiance measurements from the MOSAiC expedition. PANGAEA, https://doi.org/10.1594/PANGAEA.958999).<br> Radiation data file names start with "BBR_&lt;date&gt;", simulation file names with "BBR_fdn_clear".
DOI: 10.6084/m9.figshare.23276354.v1
title: Results of Nanostructure of dried mucilage

description: Results of evaluation of macroscopic sessile drop (3 µL) contact angle after 3 s, and nanoscale % pores, % coverage, root mean square roughness (RMS) of AFM height images (3 x 3 µm divided in 8 sub-areas) in nm, and nugget, sill and range of semi-variogram analysis of the height of these sub-areas of dried mucilage
DOI: 10.6084/m9.figshare.23276354
title: Results of Nanostructure of dried mucilage

description: Results of evaluation of macroscopic sessile drop (3 µL) contact angle after 3 s, and nanoscale % pores, % coverage, root mean square roughness (RMS) of AFM height images (3 x 3 µm divided in 8 sub-areas) in nm, and nugget, sill and range of semi-variogram analysis of the height of these sub-areas of dried mucilage
DOI: 10.25934/pr00008990
title: Data challenge

description: Proposed title: Predictive modeling of phenotypic antimicrobial susceptibility of selected critical and high-priority antimicrobials from antimicrobial resistance genes.
Clinical diagnosis of antimicrobial resistance (AMR) majorly depends on phenotypic antimicrobial susceptibility tests with a turnaround time of at least 48 hours. However, molecular methods can rapidly detect pathogen and resistance genes within a day. Therefore, the use of predictive models of phenotypic resistance from genotypic resistance data can be very useful in reducing the turnaround time associated with susceptibility testing, supporting data-driven and evidence-based empirical antimicrobial selection, supporting efficient and successful antibiotic dosing regimens, especially in cases when there are no established antimicrobial susceptibility breakpoints. Therefore, using existing surveillance data which contains both phenotypic and genotypic AMR data can help to reliably predict susceptibility or resistance from important genotypic resistance irrespective of resistance breakpoints availability which can provide additional support and/or replacement of the existing antimicrobial susceptibility testing.
Based on Pfizer’s Antimicrobial Testing Leadership and Surveillance (ATLAS) datasets, we aim to develop predictive models to estimate the phenotypic antimicrobial susceptibility of selected critical and high-priority antimicrobials from AMR genotype data while accounting for spatiotemporal factors, bacterial types (Gram-positive and gram-negative), infection types (Intraabdominal, lower respiratory, urinary tract, bloodstream, skin and community-acquired and hospital-acquired), and any other important variables present in the ATLAS data that will improve our model quality. Prediction of phenotypic antimicrobial susceptibility information directly from genotype data will help reduce the reliance on routine phenotypic testing with higher turnaround times in diagnostic, therapeutic, and surveillance of antimicrobial-resistant bacteria. Also, we intend to perform a correlation analysis between the annual prevalence trend of selected AMR phenotypes and genotypes. This analysis will support our hypothesis that a higher correlation between the annual phenotypic and genotypic data may indicate either data can be used as a proxy for decision-making in surveillance programs.
DOI: 10.4121/68fb060e-226f-4aad-903e-c924b498ff86
title: Data underlying the publication: How do Dutch drivers perceive horizontal curves on freeway interchanges and which cues influence their speed choice?

description: An online survey was designed with 28 sets of curve comparisons. In each set illustrations of two different curves out of a total of 8 curves were shown, and the participants were asked in which curve they would drive faster. After this comparison task, the participants were asked for their reasons to drive faster in an open question. In total 819 participants in the age range of 18 and 78 (mean= 41.3; Std.=11.9) completed the survey. The output from the survey is shared here, and is in Dutch. A seperate sheet explaining the variables is added.<br>More backgrounds can be read in:<br>Vos, J., Farah, H., & Hagenzieker, M. (2020). How do dutch drivers perceive horizontal curves on freeway interchanges and which cues influence their speed choice? IATSS Research. doi: https://doi.org/10.1016/j.iatssr.2020.11.004
DOI: 10.4121/68fb060e-226f-4aad-903e-c924b498ff86.v1
title: Data underlying the publication: How do Dutch drivers perceive horizontal curves on freeway interchanges and which cues influence their speed choice?

description: An online survey was designed with 28 sets of curve comparisons. In each set illustrations of two different curves out of a total of 8 curves were shown, and the participants were asked in which curve they would drive faster. After this comparison task, the participants were asked for their reasons to drive faster in an open question. In total 819 participants in the age range of 18 and 78 (mean= 41.3; Std.=11.9) completed the survey. The output from the survey is shared here, and is in Dutch. A seperate sheet explaining the variables is added.<br>More backgrounds can be read in:<br>Vos, J., Farah, H., & Hagenzieker, M. (2020). How do dutch drivers perceive horizontal curves on freeway interchanges and which cues influence their speed choice? IATSS Research. doi: https://doi.org/10.1016/j.iatssr.2020.11.004
DOI: 10.26007/xt7t-jh11
title: Rosetta Orbiter Spectrometer for Ion and Neutral Analysis (ROSINA) Double Focusing Mass Spectrometer (DFMS) Time Series Abundances, Version 1.0

description: This data collection contains time series abundance data files derived from observations made with the Rosetta Orbiter Spectrometer for Ion and Neutral Analysis (ROSINA) Double Focusing Mass Spectrometer (DFMS) instrument onboard the Rosetta spacecraft. The data in this collection span the comet encounter Prelanding through Extension 3 mission phases of the Rosetta mission to comet 67P/Churyumov-Gerasimenko.
DOI: 10.4121/f2c7d989-a25f-46e2-9866-27f57b24468a
title: Data underlying the publication: Relating uncharged solute retention of polyelectrolyte multilayer nanofiltration membranes to effective structural properties.

description: This dataset is meant as supplementary information to the publication: Junker, Moritz A., et al. "Relating uncharged solute retention of polyelectrolyte multilayer nanofiltration membranes to effective structural properties." <em>Journal of Membrane Science </em>668 (2023): 121164.In this work, the fabrication and performance of polyelectrolyte multilayer based nanofiltration membranes were analysed by a combination of experimental filtration studies and theoretical transport modeling. Experimental methods applied for membrane characterisation include pure water permeability, MgSO4 retention, polyethylene glycol retention. The selective membrane layer was imaged using Field Emission Scanning Electron Microscopy. Based on experimental results, different pore flow models were parametrised to describe the filtration behaviour.The dataset contains all relevant data for the study. This includes experimental and theoretical results. More information on the specific files can be found within the README.txt file.
DOI: 10.4121/f2c7d989-a25f-46e2-9866-27f57b24468a.v1
title: Data underlying the publication: Relating uncharged solute retention of polyelectrolyte multilayer nanofiltration membranes to effective structural properties.

description: This dataset is meant as supplementary information to the publication: Junker, Moritz A., et al. "Relating uncharged solute retention of polyelectrolyte multilayer nanofiltration membranes to effective structural properties." <em>Journal of Membrane Science </em>668 (2023): 121164.In this work, the fabrication and performance of polyelectrolyte multilayer based nanofiltration membranes were analysed by a combination of experimental filtration studies and theoretical transport modeling. Experimental methods applied for membrane characterisation include pure water permeability, MgSO4 retention, polyethylene glycol retention. The selective membrane layer was imaged using Field Emission Scanning Electron Microscopy. Based on experimental results, different pore flow models were parametrised to describe the filtration behaviour.The dataset contains all relevant data for the study. This includes experimental and theoretical results. More information on the specific files can be found within the README.txt file.
DOI: 10.5281/zenodo.7380252
title: Multi-omic integration of DNA methylation and gene expression data reveals molecular vulnerabilities in glioblastoma (processed data)

description: Glioblastoma multiforme (GBM) is one of the most aggressive types of cancer and exhibits profound genetic and epigenetic heterogeneity, making the development of an effective treatment a major challenge. The recent incorporation of molecular features into the diagnosis of GBM patients has led to an improved categorisation into various tumour subtypes with different prognoses and disease management. In this work, we have exploited the benefits of genome-wide multi-omic approaches to identify potential molecular vulnerabilities existing in GBM patients. Integration of gene expression and DNA methylation data from both bulk GBM and patient-derived GBM stem cell lines has revealed the presence of major sources of GBM variability, pinpointing subtype-specific tumour vulnerabilities amenable to pharmacological interventions. In this sense, inhibition of the AP1, SMAD3 and RUNX1 / RUNX2 pathways, in combination or not with the chemotherapeutic agent temozolomide, led to the subtype-specific impairment of tumour growth, particularly in the context of the aggressive, mesenchymal-like subtype. These results emphasize the involvement of these molecular pathways in the development of GBM and have potential implications for the development of personalized therapeutic approaches.
DOI: 10.5281/zenodo.7380251
title: Multi-omic integration of DNA methylation and gene expression data reveals molecular vulnerabilities in glioblastoma (processed data)

description: Glioblastoma multiforme (GBM) is one of the most aggressive types of cancer and exhibits profound genetic and epigenetic heterogeneity, making the development of an effective treatment a major challenge. The recent incorporation of molecular features into the diagnosis of GBM patients has led to an improved categorisation into various tumour subtypes with different prognoses and disease management. In this work, we have exploited the benefits of genome-wide multi-omic approaches to identify potential molecular vulnerabilities existing in GBM patients. Integration of gene expression and DNA methylation data from both bulk GBM and patient-derived GBM stem cell lines has revealed the presence of major sources of GBM variability, pinpointing subtype-specific tumour vulnerabilities amenable to pharmacological interventions. In this sense, inhibition of the AP1, SMAD3 and RUNX1 / RUNX2 pathways, in combination or not with the chemotherapeutic agent temozolomide, led to the subtype-specific impairment of tumour growth, particularly in the context of the aggressive, mesenchymal-like subtype. These results emphasize the involvement of these molecular pathways in the development of GBM and have potential implications for the development of personalized therapeutic approaches.
DOI: 10.4121/75c45171-93c1-485b-8ba1-9cb8e167f52f
title: Data underlying the publication: Effects of feed solution pH on polyelectrolyte multilayer nanofiltration membranes.

description: This dataset is meant as supplementary information to the publication: Junker, Moritz A., et al. "Effects of Feed Solution pH on Polyelectrolyte Multilayer Nanofiltration Membranes." ACS Applied Polymer Materials 5 (2023): 355-369.In this work, the influence of solution pH during filtration on the separation performance of polyelectrolyte multilayer based nanofiltration membranes was studied. Experimental methods applied for membrane characterisation include pressure-driven filtration (pure water permeability, polyethylene glycol retention, single salt retention), Zeta Potential measurements over a range of pH values, and spectroscopic ellipsometry measurements (dry and wet conditions).The dataset contains all relevant data for the study. More information on the specific files can be found within the README.txt file.
DOI: 10.4121/75c45171-93c1-485b-8ba1-9cb8e167f52f.v1
title: Data underlying the publication: Effects of feed solution pH on polyelectrolyte multilayer nanofiltration membranes.

description: This dataset is meant as supplementary information to the publication: Junker, Moritz A., et al. "Effects of Feed Solution pH on Polyelectrolyte Multilayer Nanofiltration Membranes." ACS Applied Polymer Materials 5 (2023): 355-369.In this work, the influence of solution pH during filtration on the separation performance of polyelectrolyte multilayer based nanofiltration membranes was studied. Experimental methods applied for membrane characterisation include pressure-driven filtration (pure water permeability, polyethylene glycol retention, single salt retention), Zeta Potential measurements over a range of pH values, and spectroscopic ellipsometry measurements (dry and wet conditions).The dataset contains all relevant data for the study. More information on the specific files can be found within the README.txt file.
DOI: 10.6084/m9.figshare.23276543
title: Tectonic evolution of a Palaeoproterozoic diffuse cryptic suture zone in northern Fennoscandia and the correlation of northern Fennoscandia and southern Greenland

description: Appendix_A. Supplementary age data.
DOI: 10.6084/m9.figshare.23276543.v1
title: Tectonic evolution of a Palaeoproterozoic diffuse cryptic suture zone in northern Fennoscandia and the correlation of northern Fennoscandia and southern Greenland

description: Appendix_A. Supplementary age data.
DOI: 10.6084/m9.figshare.23276573
title: Mge-cluster test model to test the correct the installation of mge-cluster

description: Mge-cluster test model to test the correct installation of the tool
DOI: 10.6084/m9.figshare.23276573.v1
title: Mge-cluster test model to test the correct the installation of mge-cluster

description: Mge-cluster test model to test the correct installation of the tool
DOI: 10.24400/527896/a01-2021.006
title: Simulated SWOT products
title: Version 2021

description: The SWOT Sea Surface Height simulated products contain Level-2 Low Rate (LR) data (L2_LR_SSH) designed for ocean surfaces. Two phases have been simulated: the CalVal phase wich is at 1 day repetitive orbit and the Science phase which is at 21 days repetitive orbit. For each phase, both KaRin and Nadir measurements are provided. The provided Sea Surface Heights are calculated with 2 models: the Mercator Océan GLORYS 12v1 model (GLORYS - Mercator Ocean (mercator-ocean.fr)) and the MITgcm LLC4320 model. Other geophysical variables are given in the files as well as simulated fields estimated with the simulator https://github.com/CNES/swot_simulator. Two datasets have been added (GLORYS only) Level-2 and Level-3 SSH corrected by estimations of simulated errors
DOI: 10.6084/m9.figshare.23276528
title: The map in Cryo-ET study from in vitro to in vivo revealed a general folding mode of chromatin with two-start helical architecture for reviewers.

description: The map in Cryo-ET study from in vitro to in vivo revealed a general folding mode of chromatin with two-start helical architecture for reviewers.
DOI: 10.6084/m9.figshare.23276528.v1
title: The map in Cryo-ET study from in vitro to in vivo revealed a general folding mode of chromatin with two-start helical architecture for reviewers.

description: The map in Cryo-ET study from in vitro to in vivo revealed a general folding mode of chromatin with two-start helical architecture for reviewers.