cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7483/opendata.cms.5xt2.v3j5
title: /ZHToMuMuG_M120_Dalitz_012j_TuneCP5Up_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.ioc4.f1i9
title: /ZHToMuMuG_M125_Dalitz_012j_TuneCP5_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.15468/dl.a76cgh
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "CollectionKey" : [
 "is bfb00433-9224-43bb-a5a7-0f8fe15ac267"
 ]
}

 The dataset includes 17 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073154-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7483/opendata.cms.u9zn.b9tw
title: /ZHToMuMuG_M125_Dalitz_012j_TuneCP5_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.lepf.ihce
title: /ZHToMuMuG_M125_Dalitz_012j_TuneCP5Down_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.1wor.ml6u
title: /ZHToMuMuG_M125_Dalitz_012j_TuneCP5Down_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.zrbc.i2og
title: /ZHToMuMuG_M125_Dalitz_012j_TuneCP5Up_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.tk86.u91v
title: /ZHToMuMuG_M125_Dalitz_012j_TuneCP5Up_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.i1q4.6tw4
title: /ZHToMuMuG_M130_Dalitz_012j_TuneCP5_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.dzu8.1blh
title: /ZHToMuMuG_M130_Dalitz_012j_TuneCP5_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.wdut.zzcf
title: /ZHToMuMuG_M130_Dalitz_012j_TuneCP5Down_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.svkh.siaq
title: /ZHToMuMuG_M130_Dalitz_012j_TuneCP5Down_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.83s3.y9wq
title: /ZHToMuMuG_M130_Dalitz_012j_TuneCP5Up_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.7483/opendata.cms.3ira.r12h
title: /ZHToMuMuG_M130_Dalitz_012j_TuneCP5Up_13TeV_amcatnloFXFX_pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.p7tp.zqpb
title: /ZHToMuMu_M125_CP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.ew2t.pc4d
title: /ZHToMuMu_M125_CP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.g8ww.50e1
title: /ZHToTauTau_M125_CP5_13TeV-powheg-pythia8_ext1/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.79e8.08k4
title: /ZHToTauTau_M125_CP5_13TeV-powheg-pythia8_ext1/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.ynm9.pd35
title: /ZHToTauTauUncorrelatedDecay_Filtered_M125_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.s3dh.7ckv
title: /ZHToTauTauUncorrelatedDecay_Filtered_M125_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.r6s7.0les
title: /ZHToTauTauUncorrelatedDecay_M125_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.5tnt.x2ez
title: /ZHToTauTauUncorrelatedDecay_M125_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.vp8i.ufz3
title: /ZH_HTo2LongLivedTo2G2Q_MH-125_MFF-7_ctau-0cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.if4o.yrzt
title: /ZH_HTo2LongLivedTo2G2Q_MH-125_MFF-7_ctau-0cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.tdy8.mf5e
title: /ZH_HTo2LongLivedTo2G2Q_MH-125_MFF-7_ctau-0cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.ts66.id71
title: /ZH_HTo2LongLivedTo2G2Q_MH-125_MFF-7_ctau-1000cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.csea.cm62
title: /ZH_HTo2LongLivedTo2G2Q_MH-125_MFF-7_ctau-1000cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.lnqf.jchy
title: /ZH_HTo2LongLivedTo2G2Q_MH-125_MFF-7_ctau-1000cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.ilq7.ob4g
title: /ZH_HTo2LongLivedTo2G2Q_MH-125_MFF-7_ctau-1000cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.t1qb.16gk
title: /ZH_HTo2LongLivedTo2G2Q_MH-125_MFF-7_ctau-100cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.5281/zenodo.14585015
title: Hamaker constants of materials at the bionano interface reveal nanotoxicity and biological activity/drug delivery preference

description: Hamaker energies appear as a dominant contribution to the total interactions at the bionano interface in water. Among the electrostatic interactions where charged units (amino acids) of proteins attract water and the charged nanoparticle surface, the dispersion interaction becomes more and more dominant as the size of the proteins/lipids and nanoparticles increases. A large number of proteins and lipids, about 50, and nanomaterials (metals, metal oxides, polymers, carbon nanotubes, graphene) also about 50 have been evaluated for this scope.

We understand that the underlying pairwise contributions of the parts (nanoparticle, protein, water) of the whole system (nanoparticle/nanoparticle, nanoparticle/water, nanoparticle/protein, protein/protein, protein/water, water/water) can be attractive or repulsive and therefore we analyse all the contributions in detail. Finally, we argue why the total contribution appears positive or negative in comparison to measured Hamaker constants data, where experimental data are available, and how the pairwise interaction approach could affect the real interaction of the parts in the whole system and on the real conditions interactions of the nanoparticles in the human organism and environment. 

Conclusively we remark on the correlation to biological activity of nanomaterials. A database with amino acid and lipid fragments adsorption strengths has been created and from the procentual abundance of the respective amino acids and lipid fragments in proteins and lipids the biological activity of nanomaterials is estimated. Notably, that the calculated Hamaker constants for nanomaterials in water correlate nicely with hydrophobicity/hydrophilicity parameters, i.e., immersion enthalpies of spherical nanoparticles in water obtained with the same force field parameters (CHARMM) which account for dispersion only. Moreover, the calculated Hamaker constants for biomolecules at a nanoparticle surface in water, i.e., amino acids and lipid fragments agree well with the potential of mean forces of the same amino acids and lipid fragments immersed in water near a nanoparticle surface. Bond breaking potentials, i.e., reactive potentials on the other hand show a different ranking of interaction strengths between the biomolecules and the nanomaterials in water.
DOI: 10.5281/zenodo.14585016
title: Hamaker constants of materials at the bionano interface reveal nanotoxicity and biological activity/drug delivery preference

description: Hamaker energies appear as a dominant contribution to the total interactions at the bionano interface in water. Among the electrostatic interactions where charged units (amino acids) of proteins attract water and the charged nanoparticle surface, the dispersion interaction becomes more and more dominant as the size of the proteins/lipids and nanoparticles increases. A large number of proteins and lipids, about 50, and nanomaterials (metals, metal oxides, polymers, carbon nanotubes, graphene) also about 50 have been evaluated for this scope.

We understand that the underlying pairwise contributions of the parts (nanoparticle, protein, water) of the whole system (nanoparticle/nanoparticle, nanoparticle/water, nanoparticle/protein, protein/protein, protein/water, water/water) can be attractive or repulsive and therefore we analyse all the contributions in detail. Finally, we argue why the total contribution appears positive or negative in comparison to measured Hamaker constants data, where experimental data are available, and how the pairwise interaction approach could affect the real interaction of the parts in the whole system and on the real conditions interactions of the nanoparticles in the human organism and environment. 

Conclusively we remark on the correlation to biological activity of nanomaterials. A database with amino acid and lipid fragments adsorption strengths has been created and from the procentual abundance of the respective amino acids and lipid fragments in proteins and lipids the biological activity of nanomaterials is estimated. Notably, that the calculated Hamaker constants for nanomaterials in water correlate nicely with hydrophobicity/hydrophilicity parameters, i.e., immersion enthalpies of spherical nanoparticles in water obtained with the same force field parameters (CHARMM) which account for dispersion only. Moreover, the calculated Hamaker constants for biomolecules at a nanoparticle surface in water, i.e., amino acids and lipid fragments agree well with the potential of mean forces of the same amino acids and lipid fragments immersed in water near a nanoparticle surface. Bond breaking potentials, i.e., reactive potentials on the other hand show a different ranking of interaction strengths between the biomolecules and the nanomaterials in water.
DOI: 10.7483/opendata.cms.rkms.crnv
title: /ZH_HTo2LongLivedTo2G2Q_MH-125_MFF-7_ctau-100cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.9m6r.yxvc
title: /ZH_HTo2LongLivedTo2G2Q_MH-125_MFF-7_ctau-100cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.0e41.3o4d
title: /ZH_HTo2LongLivedTo2G2Q_MH-125_MFF-7_ctau-100cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.17632/jbx98yscmd.1
title: System for Rapid Analysis of Ionospheric Dynamics based on GNSS TEC Signals

description: System for Rapid Analysis of Ionospheric Dynamics based on GNSS TEC Signals (S-RAID) performs downloading, parsing, and processing of Global Navigation Satellite System (GNSS) signal measurements and their geometry of observations, calculation of slant and vertical total electron contents (sTEC and vTEC) and subsequent visualization for selected band-passes of fluctuations with periods shorter than two hours. In a routine operation, the System processes 15/30 sec GNSS signal measurements over Continental United States (CONUS) from ~2700 stations. Raw GNSS signal measurements are collected from public archives, including The Crustal Dynamics Data Information System (CDDIS), EarthScope/UNAVCO, National Oceanic and Atmospheric Administration (NOAA), and Scripps Institution of Oceanography's Orbit and Permanent Array Center (SOPAC). The System is oriented towards rapid access to GNSS sTEC/vTEC data for the investigation of traveling ionospheric disturbances (TIDs) of various nature, from large scale TIDs to irregularities of ~10s of km and minutes of periods, in particular those driven by atmospheric acoustic and gravity wave dynamics. The details of data processing methodology are provided the section Steps to Reproduce below, and in (2) and Supporting Information to it.

Currently, this archive provides an access to high-resolution visualization of processed vTEC mapped over CONUS for years 2017-2023.

The structure of the archive:
/YYYY/MM/DD/animation.mp4, where YYYY - year, MM - month, DD - day of month, animation.mp4 - temporally evolving visualization of processed vTEC (see Steps to Reproduce for the details of data processing methodology).

To reference the archive or the methodology for data processing, we suggest to:
(1) Cite this archive by its DOI: 10.17632/jbx98yscmd.1, and/or
(2) Cite Inchin, P. A., et al. (2023). Multi-layer evolution of acoustic-gravity waves and ionospheric disturbances over the United States after the 2022 Hunga Tonga volcano eruption. AGU Advances, 4. https://doi.org/10.1029/2023AV000870.

Being processed in an automated regime, the visualizations may contain errors and bugs and thus should be used with caution as is. If you encounter any issues or wish to obtain data for animation replication, contact Inchin P.A. inchinp@erau.edu, inchinpa@gmail.com, J.B. Snively snivelyj@erau.edu or M.D. Zettergren zettergm@erau.edu.

Research is supported by DARPA Cooperative Agreement HR00112120003. This work is approved for public release; distribution is unlimited. The content of the information does not necessarily reflect the position or the policy of the Government, and no official endorsement should be inferred.
DOI: 10.7483/opendata.cms.w0nh.rc86
title: /ZH_HTo2LongLivedTo2G2Q_MH-125_MFF-7_ctau-10cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.2oij.3mgx
title: /ZH_HTo2LongLivedTo2G2Q_MH-125_MFF-7_ctau-10cm_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.7483/opendata.cms.unae.4m9g
title: /ZH_HTo2LongLivedTo2G2Q_MH-125_MFF-7_ctau-10cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.7483/opendata.cms.1ka8.5jer
title: /ZH_HTo2LongLivedTo2G2Q_MH-125_MFF-7_ctau-10cm_TuneCP5_fixedLifetime_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.15468/dl.y3mdzj
title: Occurrence Download

description: A dataset containing 3010614 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Bradypus variegatus Schinz, 1825, Emberiza citrinella Linnaeus, 1758)"
 ]
}

 The dataset includes 3010614 records from 3775 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073137-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fudta3
title: Occurrence Download

description: A dataset containing 16077 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pancratium maritimum L."
 ]
}

 The dataset includes 16077 records from 250 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0134378-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c2p4xs
title: Occurrence Download

description: A dataset containing 181296 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alnus incana (L.) Moench)",
 "HasCoordinate is true",
 "Geometry POLYGON ((25.280527 74.385866, 34 74.516506, 34 35.773364,\n 32.861584 35.588421, 26.375071 34.609982, 22.816449 34.504241, 13.627633 36.690862,\n 10.001544 38.719154, -0.356862 36.404548, -9.323257 35.627079, -12.292937 57.408982,\n 25.280527 74.385866))"
 ]
}

 The dataset includes 181296 records from 496 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0134356-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4tad76
title: Occurrence Download

description: A dataset containing 469 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Saltuarius cornutus (Ogilby, 1892)"
 ]
}

 The dataset includes 469 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0276804-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hfxpe2
title: Occurrence Download

description: A dataset containing 421541 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Betula pubescens Ehrh.)",
 "HasCoordinate is true",
 "Geometry POLYGON ((25.280527 74.385866, 34 74.516506, 34 35.773364,\n 32.861584 35.588421, 26.375071 34.609982, 22.816449 34.504241, 13.627633 36.690862,\n 10.001544 38.719154, -0.356862 36.404548, -9.323257 35.627079, -12.292937 57.408982,\n 25.280527 74.385866))"
 ]
}

 The dataset includes 421541 records from 751 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0134372-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g4e925
title: Occurrence Download

description: A dataset containing 374773 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pyrocephalus rubinus (Boddaert, 1783)"
 ]
}

 The dataset includes 374773 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0273326-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7f4yg4
title: Occurrence Download

description: A dataset containing 384 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chaptalia piloselloides (Vahl) Baker"
 ]
}

 The dataset includes 384 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0134388-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wttr2a
title: Occurrence Download

description: A dataset containing 5047 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Empidonax virescens (Vieillot, 1818)",
 "HasCoordinate is True",
 "Country is United States of America",
 "Year is greater than or equal to 1999",
 "Year is less than or equal to 2001",
 "Month is greater than or equal to January",
 "Month is less than or equal to December",
 "HasGeospatialIssue is False",
 "DecimalLatitude is greater than or equal to 24.5",
 "DecimalLatitude is less than or equal to 49.5",
 "DecimalLongitude is greater than or equal to -125.0",
 "DecimalLongitude is less than or equal to -66.5"
 ]
}

 The dataset includes 5047 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0276808-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zd7bsm
title: Occurrence Download

description: A dataset containing 100200 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tripolium pannonicum (Jacq.) Dobrocz."
 ]
}

 The dataset includes 100200 records from 474 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022405-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rwc2wt
title: Occurrence Download

description: A dataset containing 42685 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anas platyrhynchos",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 42685 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001767-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gf4bae
title: Occurrence Download

description: A dataset containing 205 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Possible vectors associated to Oropouche virus transmission in Cuba, 2024"
 ]
}

 The dataset includes 205 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001769-250914085247600/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.30123055.v1
title: MCR-5.2_colabfold_model_pbd_files

description: Protein model of MCR-5.2 from Escherichia coli (Genbank: AVM85875.1). Modeled by ColabFold v1.5.5: AlphaFold2 using MMSeq2.
DOI: 10.34928/m2wg-7p13
title: Données LIDAR RELIQUES

description:  Le projet « RELIQUES, FRagmentation des forEts sur substrats uLtramafIQUES de Nouvelle-Calédonie » visait à identifier les enjeux de conservation et de restauration des forêts fragmentées sur les substrats ultramafiques à l’échelle de la Grande-Terre. Il a intègré les états passés et les états actuels pour produire un scénario d’évolution de la fragmentation qui constitue une sorte de tableau de bord à partir duquel les priorités de conservation pourront être déployées. La finalité appliquée de ce projet consistait à proposer un modèle d’aide à la décision en matière de sélection des zones d’intérêt pour la conservation et la restauration en poursuivant un objectif de réduction de la fragmentation et donc, implicitement, de reconquête de la forêt sur la matrice d’origine anthropique. Ce projet proposait d’appliquer les modèles de sélection de réserve à la réduction des états de la fragmentation. Il s'agit ici d'un ensemble d'images classiques de forêts et des images LIDAR associées.
DOI: 10.5281/zenodo.17116766
title: ShortCake: An integrated platform for efficient and reproducible single-cell analysis

description: The Singularity images of the ShortCake_light and ShortCake (version 3.4.0).

For more details, see the GitHub site: https://github.com/rnakato/ShortCake.
DOI: 10.5281/zenodo.17116765
title: ShortCake: An integrated platform for efficient and reproducible single-cell analysis

description: The Singularity images of the ShortCake_light and ShortCake (version 3.4.0).

For more details, see the GitHub site: https://github.com/rnakato/ShortCake.