cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25318/3210039301-eng
title: Farm population classified by mother tongue, gender and age, Agriculture–Population Linkage, 2021

description: Agriculture–Population Linkage, 2021. Farm operators and total farm population classified by mother tongue, gender and age.
DOI: 10.58119/ulg/qjj0sa/gfrhgz
title: Cicero_PhilippicaOratio_CicPhi13.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/jenxi1
title: 31SenTragoediae_Seneca_Thyestes_SenThyes.APN

description: :unav
DOI: 10.5519/qd.lzvoyqa3
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (28 records)
DOI: 10.25318/3210039301-fra
title: Population agricole classée selon la langue maternelle, le genre et l'âge, Couplage Agriculture–Population, 2021

description: Couplage Agriculture–Population, 2021. Exploitants agricoles et population agricole totale classés selon la langue maternelle, le genre et l'âge.
DOI: 10.58119/ulg/qjj0sa/f0wvp8
title: 37DeSenectute_Cicero_DeSenectute_CicSenec.APN

description: :unav
DOI: 10.18112/openneuro.ds000228.v1.1.1
title: MRI data of 3-12 year old children and adults during viewing of a short animated film
DOI: 10.5281/zenodo.8210153
title: Data for Quantum Control of Trapped Polyatomic Molecules for eEDM Searches

description: Data for Quantum Control of Trapped Polyatomic Molecules for eEDM Searches
DOI: 10.5281/zenodo.8210154
title: Data for Quantum Control of Trapped Polyatomic Molecules for eEDM Searches

description: Data for Quantum Control of Trapped Polyatomic Molecules for eEDM Searches
DOI: 10.5281/zenodo.8384389
title: Data for Quantum Control of Trapped Polyatomic Molecules for eEDM Searches

description: Data for Quantum Control of Trapped Polyatomic Molecules for eEDM Searches
DOI: 10.58119/ulg/qjj0sa/t5ar4d
title: 25SenLuc75a99_Seneca_AdLuciliumEpistulaeMorales_SenEpist75a99.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/vubklk
title: 30SenTractatus_Seneca_DeVitaBeata_SenVitBe.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/9pxpay
title: 09HorCarm_Horatius_Carmina_HorCarm3.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/flswoo
title: 39Suetonius_Suetonius_VitaeCaesarum_SueVC06.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/48nbxh
title: Plautus_Aulularia_PlAulul.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/pbgqti
title: 15Suetonius_VitaeCaesarum_SueVC10.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/p0alap
title: 17Livius_Livius_AbVrbeCondita_TLiv09.APN

description: :unav
DOI: 10.34943/e01f535d-b252-4f1f-ba5d-9b9530ffddf7
title: Burrard Inlet Carbon Dioxide Sensor Deployed 2019-03-28

description: The Pro-Oceanus CO2-Pro CV (SN 39-598-75) was deployed on 2019-03-28 at Burrard Inlet. Burrard Inlet is a coastal fjord in southwestern British Columbia. This device is a Carbon Dioxide Sensor. Carbon Dioxide sensors monitor CO2 levels in the ocean. CO2 sensors measure the partial pressure, or the concentration of dissolved CO2 in seawater by a variety of techniques. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.5281/zenodo.8384137
title: TILAM_GSE135251

description: BigWig files for samples of GSE135251
DOI: 10.58119/ulg/qjj0sa/qzwp4t
title: 19Aeneis_Vergilius_Aeneis_VerAen07.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/hg7rer
title: 15ProSulla_Cicero_ProSulla_CicSul.APN

description: :unav
DOI: 10.5281/zenodo.8384136
title: TILAM_GSE135251

description: BigWig files for samples of GSE135251
DOI: 10.58119/ulg/qjj0sa/rqsjiw
title: 36Fragmenta_Cicero_ProCFundanioFragmenta_CicCFund.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/y21gg5
title: 13DeBen3a4_Seneca_DeBeneficiis_SenBenef3a4.APN

description: :unav
DOI: 10.6069/62fz-wz89
title: Pandemic Recovery Survey Indicators 2023

description: This dataset contains aggregated indicators calculated using self-report survey data from more than 621,000 people in 21 countries aged 18 years and up collected from March-May 2023. Data were collected through a stratified random sampling approach of Facebook users via a Qualtrics platform. Questionnaires were translated into 15 languages and survey weights were calculated to help correct for sampling bias. Indicator topics include access to health care, trust in governmental organizations, vaccine confidence, financial security, food security, education, COVID-19 vaccination status, childhood routine immunizations, and demographic and behavioral variables.
DOI: 10.58119/ulg/qjj0sa/fufx0n
title: 14CicDial_Cicero_DeAmicitia_CicAmici.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/nplczj
title: Tacitus_TacAnnales_TacAnn11.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/j8vjgn
title: 08Annal01_Tacitus_TacAnnales_TacAnn01.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/5j4djt
title: 08Cic2Verrem_Cicero_InVerremActioSecunda_Cic2Ver5.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/htknso
title: 13InCatilinam_Cicero_InCatilinam_CicCat4.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/ud2jvc
title: 08SenMarcia_Seneca_AdMarciamDeConsolatione_SenMarci.APN

description: :unav
DOI: 10.25345/c5sq8qt87
title: MassIVE MSV000092989 - Cunjie_SLC3A2_TripleTOF6600_Fig4_5
title: This dataset consists of 40 raw MS files, acquired on a TripleTOF 6600 (AB SCIEX, Concord, Ontario, Canada) mass spectrometer operated in data dependent acquisition (DDA) and SWATH mode. Code for variants with additional NXS/T sites: 255I WTseq: (N365, N381, N424, N506) 256G N273A (+1 site) 257A N273A; N355D (+2 sites) 258F N355D; N492D (+2 sites) 259J N273A; N355D; N492D (+3 sites) CJ1 D365N (-1 site) CJ2 D381N (-1 site) Cunjie Zhang did all the sample preparation, mass spectrometric acquisition and data analysis. The files are associated with a manuscript submitted for publication by Cunjie Zhang et al. SLC3A2 (4F2hc, CD98) is a single-pass transmembrane glycoprotein and acts as a disulfide-linked adaptor to the SLC7A5 and SLC7A11 exchangers which import essential amino acids and cystine while exporting Gln and Glu, respectively. Cancer cells often over-express SLC3A2, SLC7A5, SLC7A11 and the N-glycans branching, which support tumor progression by increasing mTOR signaling and mitigation of oxidative stress (ox-stress). Branched chain amino acids and mitigation of oxidative stress are also central to aging. Furthermore, the evolution of N-glycosylation sites on SLC3A adaptors and SLC7A transporters suggests a critical but poorly understood role for N-glycans. We have profiled the N-glycan structures at each site SLC3A2 (4F2hc, CD98) and analyzed their impact on trafficking, protein interactions, cellular AA balance and sensitivity to ox-stress.] James W. Dennis is the corresponding author of the manuscript; James W. Dennis should be contacted for questions on this dataset DENNIS@lunenfeld.ca This submission is associated with: Figure 4 Figure 5 Table S4
DOI: 10.58119/ulg/qjj0sa/zkjvds
title: 05BGallicum_Caesar_BellumGallicum_CaesBG4.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/gduc7f
title: 16OviMedRem_Ovidius_MedicaminaFacieiFemineae_OviMedic.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/hob437
title: Persius_PersiusSatirae_PersiusS.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/xmbq1c
title: Curtius_CurtiusHistoriaeAlexandriMagni_QCurt05.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/wnbhez
title: 23InVatinium_Cicero_InVatinium_CicVatin.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/in6klk
title: Cicero_ProOppioFragmenta_CicOppio.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/bvuses
title: 14SenTranquil_Seneca_DeTranquillitateAnimi_SenTranq.APN

description: :unav
DOI: 10.13140/rg.2.2.27968.10247
title: Zamora
DOI: 10.6084/m9.figshare.24207861
title: Opposing effects of warming on the stability of above- and below-ground productivity in facing an extreme drought event

description: The raw data, mean value and standard error of all indicators under different warming treatments are given in the dataset, and the data provided can be directly used for mapping and analysis of variance.In every sheet, C represents control treatment; W1.5 represents low-level warming at +1.5℃; W2.5 represents high-level warming at +2.5℃. The unit of species richness is 0.10 m2, all other variables are dimensionless. Mean indicates mean value, SE means standard error.datasets included:1)NPP resistance and recovery: the mean value and standard error of productivity (ANPP, BNPP, and NPP) resistance and recovery. ANPP, BNPP, and NPP represent aboveground, belowground and total net primary productivity, respectively.2)Community characteristics: the mean value and standard error of community structural resistance and recovery, species richness, and species asynchrony. Srst and Src represent structural resistance and recovery, respectively.3)Group structural stability: the mean value and standard error of species groups (dominant, common, and rare species) structural resistance and recovery. Srst and Src represent structural resistance and recovery, respectively.4)Raw data: the raw data for all indicators in the article. These raw data are used to evaluate the relationships between various variables, and to investigate the pathways through which warming influenced functional and compositional resistance (recovery) to extreme drought in Figure 5.
DOI: 10.6084/m9.figshare.24207861.v1
title: Opposing effects of warming on the stability of above- and below-ground productivity in facing an extreme drought event

description: The raw data, mean value and standard error of all indicators under different warming treatments are given in the dataset, and the data provided can be directly used for mapping and analysis of variance.In every sheet, C represents control treatment; W1.5 represents low-level warming at +1.5℃; W2.5 represents high-level warming at +2.5℃. The unit of species richness is 0.10 m2, all other variables are dimensionless. Mean indicates mean value, SE means standard error.datasets included:1)NPP resistance and recovery: the mean value and standard error of productivity (ANPP, BNPP, and NPP) resistance and recovery. ANPP, BNPP, and NPP represent aboveground, belowground and total net primary productivity, respectively.2)Community characteristics: the mean value and standard error of community structural resistance and recovery, species richness, and species asynchrony. Srst and Src represent structural resistance and recovery, respectively.3)Group structural stability: the mean value and standard error of species groups (dominant, common, and rare species) structural resistance and recovery. Srst and Src represent structural resistance and recovery, respectively.4)Raw data: the raw data for all indicators in the article. These raw data are used to evaluate the relationships between various variables, and to investigate the pathways through which warming influenced functional and compositional resistance (recovery) to extreme drought in Figure 5.
DOI: 10.58119/ulg/qjj0sa/axdhne
title: 21DeHarResp_Cicero_DeHaruspicumResponso_CicHarus.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/db7ckm
title: Cato_CatoOrigines_CatOrig.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/yfnve3
title: 10Cic4Orat_Cicero_ProArchia_CicArch.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/yuczyk
title: 07Hist04et05_Tacitus_TacHistoriae_TacHist4.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/mgvivl
title: Cicero_PhilippicaOratio_CicPhi05.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/gg38nk
title: 16AdLuc01a24_Seneca_AdLuciliumEpistulaeMorales_SenEpist1a24.APN

description: :unav
DOI: 10.5519/qd.9wlip47o
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (88 records)
DOI: 10.58119/ulg/qjj0sa/rnul4t
title: Nepos_NepVitae_NepHannibal.APN

description: :unav
DOI: 10.3886/icpsr38744
title: Uniform Crime Reporting Program Data: Arrests by Age, Sex, and Race, Summarized Yearly, United States, 2018
title: Archival Version

description: These data provide information on the number of arrests reported to the Federal Bureau of Investigation's Uniform Crime Reporting (UCR) Program each year by police agencies in the United States. These arrest reports provide data on 49 offenses including violent crime, drug use, gambling, and larceny. The data received by ICPSR were structured as a hierarchical file containing, per reporting police agency: an agency header record, and 1 to 49 detail offense records containing the counts of arrests by age, sex, and race for a particular offense. ICPSR restructured the original data to logical record length format with the agency header record variables copied onto the detail records. Consequently, each record contains arrest counts for a particular agency-offense.
description: Datasets: DS0: Study-Level Files DS1: Six or More Months Dataset DS2: Twelve Months Dataset
description: Arrests reported by law enforcement agencies to the Federal Bureau of Investigation's Uniform Crime Reporting program. Smallest Geographic Unit: states, counties, cities
description: computer-assisted self interview (CASI); on-site questionnaireThese studies are 'static data snapshots' of the data available on the FBI website via the Crime Data Explorer, which is continuously updated. For additional information on the Uniform Crime Reporting (UCR) Program, please visit the UCR website.
DOI: 10.58119/ulg/qjj0sa/tcadwy
title: Seneca_DeIra_SenIra2.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/qykp5w
title: Horatius_HorEpistulae_HorEpis1.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/qhirml
title: 39Suetonius_Suetonius_VitaeCaesarum_SueVC01.APN

description: :unav
DOI: 10.3886/icpsr38744.v1
title: Uniform Crime Reporting Program Data: Arrests by Age, Sex, and Race, Summarized Yearly, United States, 2018
title: Version 1

description: These data provide information on the number of arrests reported to the Federal Bureau of Investigation's Uniform Crime Reporting (UCR) Program each year by police agencies in the United States. These arrest reports provide data on 49 offenses including violent crime, drug use, gambling, and larceny. The data received by ICPSR were structured as a hierarchical file containing, per reporting police agency: an agency header record, and 1 to 49 detail offense records containing the counts of arrests by age, sex, and race for a particular offense. ICPSR restructured the original data to logical record length format with the agency header record variables copied onto the detail records. Consequently, each record contains arrest counts for a particular agency-offense.
description: Datasets: DS0: Study-Level Files DS1: Six or More Months Dataset DS2: Twelve Months Dataset
description: Arrests reported by law enforcement agencies to the Federal Bureau of Investigation's Uniform Crime Reporting program. Smallest Geographic Unit: states, counties, cities
description: computer-assisted self interview (CASI); on-site questionnaireThese studies are 'static data snapshots' of the data available on the FBI website via the Crime Data Explorer, which is continuously updated. For additional information on the Uniform Crime Reporting (UCR) Program, please visit the UCR website.
DOI: 10.58119/ulg/qjj0sa/snn8h0
title: Plinius_PliniusEpistulae_PliEp08.APN

description: :unav
DOI: 10.6084/m9.figshare.24207942
title: <b>S1 Dataset.</b>

description: <b>Raw data set of test 1 with information regarding answers of each participant, optical determination done by the principal investigator and MALDI-TOF results.</b>
DOI: 10.58119/ulg/qjj0sa/bekthm
title: 11Curtius_CurtiusHistoriaeAlexandriMagni_QCurt05.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/d72jro
title: 13InCatilinam_Cicero_InCatilinam_CicCat3.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/pyuvzy
title: 08Cic2Verrem_Cicero_InVerremActioSecunda_Cic2Ver1.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/atvj28
title: 36CicFrag_Cicero_ProQGallioFragmenta_CicQGal.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/c0jpc4
title: 16Nepos_Nepos_NepVitae_NepLysander.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/djdcqk
title: Seneca_AdPolybiumDeConsolatione_SenPolyb.APN

description: :unav
DOI: 10.6084/m9.figshare.24208014
title: Dataset: plant functional traits used in ELM-FATES for arctic ecosystem

description: Multiple sets of plant functional traits that allowed ELM-FATES to reproduce aboveground vegetation biomass and composition that were observed at the Kougarok Hillslope site in Alaska. Detailed descriptions of parameters and other default values can be found at https://github.com/NGEET/fates. The ending numbers 7, 9, and 10 in the parameter names correspond to plant functional types of evergreen shrub, deciduous shrub, and graminoid, respectively.
DOI: 10.58119/ulg/qjj0sa/hvtnd8
title: 37TacAnnales_Tacitus_TacAnnales_TacAnn15.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/h5rkyc
title: 25Curtius_Curtius_CurtiusHistoriaeAlexandriMagni_QCurt07.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/88aisp
title: Plinius_PliniusEpistulae_PliEp01.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/ndh4pv
title: Cicero_InCatilinam_CicCat2.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/l2p2np
title: 17OviAmores_Ovidius_Amores_OviAmor3.APN

description: :unav
DOI: 10.13020/ea6p-g173
title: Data files for dissertation titled "The effect of intense pulsed light on the sensory properties of milk powder and wheat flour and The two-out-five test compared to the triangle test in terms of sensory adaptation, test sensitivity, and selective attention"

description: This data set contains raw data that was used for statistical analysis in the dissertation titled " The effect of intense pulsed light on the sensory properties of milk powder and wheat flour and The two-out-five test compared to the triangle test in terms of sensory adaptation, test sensitivity, and selective attention"
description: Chapter 2a. Descriptive analysis of IPL-treated and untreated milk powder Chapter 2b. Descriptive analysis of reconstituted milk prepared with IPL-treated and untreated milk powder Chapter 5a. Taste adaptation, discrimination performance, number of tastings for the two-out-of-five test and the triangle test of iced tea Chapter 5b. The number of attributes used by panelists and discrimination performance of repeated two-out-of-five tests and triangle tests of orange flavored tea
DOI: 10.58119/ulg/qjj0sa/ex9uih
title: 16Nepos_Nepos_NepVitae_NepThrasybulus.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/tkqdpa
title: Cicero_ProNegotiatoribusAchaeisFragmenta_CicNegAc.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/lntjtp
title: 26HOetaeus_Seneca_HerculesOetaeus_SenHerOe.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/zrfrkh
title: 11DeVitaBeata_Seneca_DeVitaBeata_SenVitBe.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/qsnwln
title: 02Lucrece4a6_Lucretius_DeRerumNatura_LucrDRN6.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/tdk4rr
title: 23Ovidius1_Ovidius_MedicaminaFacieiFemineae_OviMedic.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/imm5px
title: 12Cic6Orat_Cicero_ProMarcello_CicMarc.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/tnfkvo
title: Ovidius_Fasti_OvFasti2.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/kzddp8
title: 10HorEpodiArs_Horatius_Epodi_HorEpodi.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/p6dx8z
title: 01Plautus_Plautus_Casina_PlCasin.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/ckfvja
title: 34Philippicae1_Cicero_PhilippicaOratio_CicPhi06.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/jpl0kd
title: Juvenalis_JuvSaturae_JuvSatur.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/u6em2b
title: Curtius_CurtiusHistoriaeAlexandriMagni_QCurt08.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/feuxow
title: 10Livius_AbVrbeCondita_TLiv06.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/no89eb
title: 08Sallustius_FragmentaHistoriarum_SalHistF.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/kvfyan
title: 27InPisonem_Cicero_InLCalpurniumPisonem_CicPis.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/jnicil
title: 25Curtius_Curtius_CurtiusHistoriaeAlexandriMagni_QCurt03.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/qdmmyy
title: 22Tibullus_Tibullus_TibElegiae_TibEleg3.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/llmaru
title: 01Lucrece1a3_Lucretius_DeRerumNatura_LucrDRN1.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/crongz
title: 06DeIra_Seneca_DeIra_SenIra2.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/r2r0fw
title: 12Cic6Orat_Cicero_ProMilone_CicMil.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/a3qgtf
title: 10Livius_AbVrbeCondita_TLiv00.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/acwkmz
title: Ovidius_InIbin_OviIbin.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/mriicv
title: Cicero_ProQGallioFragmenta_CicQGal.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/hl5f5m
title: Plautus_Epidicus_PlEpidic.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/blibln
title: 14CicDial_Cicero_DeOfficiis_CicOffic1.APN

description: :unav
DOI: 10.5281/zenodo.6340173
title: Seurat objects associated with the tonsil cell atlas

description: In the context of the Human Cell Atlas, we have created a single-cell-driven taxonomy of cell types and states in human tonsils. This repository contains the Seurat objects derived from this effort. In particular, we have datasets for each modality (scRNA-seq, scATAC-seq, CITE-seq, spatial transcriptomics), as well as cell type-specific datasets. Most importantly, this is the input that we used to create the HCATonsilData package, which allows programmatic access to all this datasets within R. Version 2 of this repository includes cells from 7 additional donors, which we used as a validation cohort to validate the cell types and states defined in the atlas. In addition, in this version we also provide the Seurat object associated with the spatial transcriptomics data (10X Visium), as well as the fragments files for scATAC-seq and Multiome
DOI: 10.5281/zenodo.6340174
title: Seurat objects associated with the tonsil cell atlas

description: In the context of the Human Cell Atlas, we have created a single-cell taxonomy of cell types and states in human tonsils. This repository contains the Seurat objects derived from this effort. In particular, we have datasets for each modality (scRNA-seq, scATAC-seq, CITE-seq, spatial transcriptomics), as well as cell type-specific datasets. Most importantly, this is the input that we used to create the HCATonsilData package, which allows programmatic access to all this datasets within R.
DOI: 10.58119/ulg/qjj0sa/cbxd6d
title: 19Aeneis_Vergilius_Aeneis_VerAen11.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/5ya8fz
title: 09Nepos_NepVitae_NepHamilcar.APN

description: :unav
DOI: 10.6084/m9.figshare.24207960.v1
title: <b>S2 Dataset.</b>

description: Raw data set of test 2 with information regarding answers of each participant, optical determination done by the principal investigator and MALDI-TOF results.
DOI: 10.6084/m9.figshare.24207960
title: <b>S2 Dataset.</b>

description: Raw data set of test 2 with information regarding answers of each participant, optical determination done by the principal investigator and MALDI-TOF results.
DOI: 10.58119/ulg/qjj0sa/jsrm1p
title: 10Cic4Orat_Cicero_DeLegeAgraria_CicLegA3.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/hdrf3s
title: Vergilius_Aeneis_VerAen11.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/dqjkgs
title: 09Nepos_NepVitae_NepAristides.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/tyz5yf
title: PseudoCaesar1_BellumAfricanum_BAfr.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/oxvhrf
title: 27SenEpistulae_Seneca_AdLuciliumEpistulaeMorales_SenEpist.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/flrm8z
title: Livius_AbVrbeCondita_TLiv02.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/m3dhh6
title: 36CicFrag_Cicero_ProMScauroFragmenta_CicMScau.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/whym0w
title: 30SenTractatus_Seneca_DeClementia_SenClem2.APN

description: :unav
DOI: 10.58119/ulg/qjj0sa/kyqnxj
title: Cicero_DeLegeAgraria_CicLegA3.APN

description: :unav