cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5064/f6g2petf/zkvcgr
title: Moore-et-al_NH_0321_FAQ about Health Insurance Coverage and COVID-19 Vaccination.pdf
DOI: 10.5064/f6g2petf/lzkmtr
title: Moore-et-al_NH_0621_school-call-presentation-061621_0.pdf
DOI: 10.5064/f6g2petf/rsrn8h
title: Moore-et-al_NH_0421_covid-19-update42.pdf
DOI: 10.5064/f6g2petf/yc2ep6
title: Moore-et-al_NH_1220_school-call-presentation-12232020.pdf
DOI: 10.5064/f6g2petf/lgpzqe
title: Moore-et-al_NH_0621_ta-covid-19-school-vaccination-requirements.pdf
DOI: 10.5064/f6g2petf/xarpoc
title: Moore-et-al_NH_1220_covid-19-update31.pdf
DOI: 10.5064/f6g2petf/wfj71p
title: Moore-et-al_NH_0121_covid-19-update34.pdf
DOI: 10.5064/f6g2petf/jisyie
title: Moore-et-al_NH_0221_covid-19-update35.pdf
DOI: 10.34740/kaggle/dsv/13871320
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5064/f6g2petf/dugn8d
title: Moore-et-al_NH_0221_hcp-call-presentation-02112021.pdf
DOI: 10.5064/f6g2petf/gdcvgn
title: Moore-et-al_NH_0221_Biden’s CDC Director Agrees with Governor Sununu That Schools Can Reopen Safely _ Governor Christopher T. Sununu.pdf
DOI: 10.5064/f6g2petf/vlsknb
title: Moore-et-al_NH_0921_20210929-transcript.pdf
DOI: 10.5064/f6g2petf/epdext
title: Moore-et-al_NH_0521_covid-19-update-05182021.pdf
DOI: 10.5064/f6g2petf/xs4xhv
title: Moore-et-al_NH_1220_First Responder COVID19 Vaccine Prioritization Overview – Homeland Security Emergency Management.pdf
DOI: 10.5064/f6g2petf/vtlioz
title: Moore-et-al_NH_1220_NHIIS Information for Healthcare Providers _ Immunization _ Division of Public Health Services _ NH Department o.pdf
DOI: 10.5064/f6g2petf/zgxcmd
title: Moore-et-al_NH_1220_hcp-call-presentation-12102020.pdf
DOI: 10.5064/f6g2petf/vaxgnb
title: Moore-et-al_NH_0221_emergency-order-85.pdf
DOI: 10.15468/dl.8g9z5s
title: Occurrence Download

description: A dataset containing 191234 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cordia"
 ]
}

 The dataset includes 191234 records from 1241 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008735-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5064/f6g2petf/vfba8g
title: Moore-et-al_NH_0521_covid-vaccine-comm-leader-training.pdf
DOI: 10.5064/f6g2petf/yfju6n
title: Moore-et-al_NH_0121_Recipient Questions _ NH Vaccine Strategy.pdf
DOI: 10.5064/f6g2petf/loldjf
title: Moore-et-al_NH_0421_State of NH to Host Third Mass Vaccination Site This Weekend _ Governor Christopher T. Sununu.pdf
DOI: 10.5064/f6g2petf/onujw2
title: Moore-et-al_NH_0621_hcp-call-presentation-060321.pdf
DOI: 10.5064/f6g2petf/qrflqj
title: Moore-et-al_NH_0221_emergency-order-85.pdf
DOI: 10.5064/f6g2petf/ptaeyo
title: Moore-et-al_NH_0621_New Hampshire Department of Education and Division of Public Health Services Issue Joint Statement Regarding Mas.pdf
DOI: 10.5064/f6g2petf/oiiadv
title: Moore-et-al_NH_0921_hcp-call-presentation-093021.pdf
DOI: 10.5064/f6g2petf/hcjfvy
title: Moore-et-al_NH_1220_dental-board-minutes-20201207.pdf
DOI: 10.5064/f6g2petf/quinua
title: Moore-et-al_NH_0521_hcp-call-presentation-051321.pdf
DOI: 10.5064/f6g2petf/knbtiq
title: Moore-et-al_NH_0921_20210915-transcript.pdf
DOI: 10.5064/f6g2petf/zjwyyf
title: Moore-et-al_NH_1220_covid-19-update29.pdf
DOI: 10.5064/f6g2petf/ajfjvu
title: Moore-et-al_NH_0521_Keene Vaccination Clinic Relocating Indoors _ NH COVID-19 Response.pdf
DOI: 10.5064/f6g2petf/3neyzd
title: Moore-et-al_NH_0321_covid19-vac-plan.pdf
DOI: 10.5064/f6g2petf/b4etw4
title: Moore-et-al_NH_0821_hcp-call-presentation-080521.pdf
DOI: 10.5064/f6g2petf/wpqykr
title: Moore-et-al_NH_0321_new-hampshire-vini-pre-appointment-tip-sheet.pdf
DOI: 10.5064/f6g2petf/zaarwd
title: Moore-et-al_NH_1220_Pfizer_BioNTech Vaccine Achieves FDA Approval_ First Shipment Coming to New Hampshire _ Press Releases _ NH Depa.pdf
DOI: 10.15468/dl.9y383n
title: Occurrence Download

description: A dataset containing 363 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echinochloa crus-galli",
 "GadmGid is one of (USA.6_1, USA.17_1, USA.27_1, USA.28_1, USA.32_1, USA.35_1, USA.37_1, USA.42_1, USA.44_1, USA.51_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Machine Observation)"
 ]
}

 The dataset includes 363 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008778-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18324466
title: Restricted Datasets for Bibliometric Analysis of Artificial Intelligence in Social Sciences (2015–2025)

description: Bu kayıt, 2015–2025 yılları arasında sosyal bilimlerde yapay zekâ literatürüne yönelik gerçekleştirilen bibliyometrik analiz kapsamında kullanılan ham veri ve normalize edilmiş veri setlerini içermektedir.

Ham veri seti, Web of Science Core Collection veritabanından elde edilen tam kayıtlar ve atıf referanslarını içeren plain text (.txt) formatındaki dışa aktarımdan oluşmaktadır. Normalize edilmiş veri seti ise bibliometrix/Biblioshiny ortamında gerçekleştirilen mükerrer kayıt temizliği, atıf eşleştirme ve terim normalizasyonu adımlarından sonra oluşturulan RData formatındaki analiz dosyasını kapsamaktadır.

Web of Science veri tabanının lisans koşulları gereği, bu kayıttaki dosyalara erişim kısıtlı (restricted) olarak tanımlanmıştır. Dosyalara yalnızca akademik ve ticari olmayan amaçlarla erişim talepleri değerlendirilmekte olup, uygun görülen talepler doğrultusunda erişim sağlanmaktadır.

Dosyalar:





TUM_VERI_7809.txt – Web of Science tam kayıt ve atıf verileri




M_normalleştirilmiş.RData – Temizlenmiş ve normalize edilmiş bibliyometrik veri seti (Biblioshiny/bibliometrix uyumlu)



 

This record contains the raw data and normalized datasets used in the bibliometric analysis of artificial intelligence research in the social sciences covering the period 2015–2025.

The raw dataset consists of the full records and cited references exported from the Web of Science Core Collection in plain text (.txt) format. The normalized dataset consists of the RData file generated after duplicate record removal, reference matching, and term normalization procedures conducted within the bibliometrix/Biblioshiny environment.

Due to licensing restrictions of the Web of Science database, access to the files in this record is restricted. Access requests are evaluated exclusively for academic and non-commercial research purposes, and access is granted upon approval.

Files:





TUM_VERI_7809.txt – Web of Science full records and cited references




M_normalleştirilmiş.RData – Cleaned and normalized bibliometric dataset (Biblioshiny/bibliometrix compatible)
DOI: 10.5281/zenodo.18324467
title: Restricted Datasets for Bibliometric Analysis of Artificial Intelligence in Social Sciences (2015–2025)

description: Bu kayıt, 2015–2025 yılları arasında sosyal bilimlerde yapay zekâ literatürüne yönelik gerçekleştirilen bibliyometrik analiz kapsamında kullanılan ham veri ve normalize edilmiş veri setlerini içermektedir.

Ham veri seti, Web of Science Core Collection veritabanından elde edilen tam kayıtlar ve atıf referanslarını içeren plain text (.txt) formatındaki dışa aktarımdan oluşmaktadır. Normalize edilmiş veri seti ise bibliometrix/Biblioshiny ortamında gerçekleştirilen mükerrer kayıt temizliği, atıf eşleştirme ve terim normalizasyonu adımlarından sonra oluşturulan RData formatındaki analiz dosyasını kapsamaktadır.

Web of Science veri tabanının lisans koşulları gereği, bu kayıttaki dosyalara erişim kısıtlı (restricted) olarak tanımlanmıştır. Dosyalara yalnızca akademik ve ticari olmayan amaçlarla erişim talepleri değerlendirilmekte olup, uygun görülen talepler doğrultusunda erişim sağlanmaktadır.

Dosyalar:





TUM_VERI_7809.txt – Web of Science tam kayıt ve atıf verileri




M_normalleştirilmiş.RData – Temizlenmiş ve normalize edilmiş bibliyometrik veri seti (Biblioshiny/bibliometrix uyumlu)



 

This record contains the raw data and normalized datasets used in the bibliometric analysis of artificial intelligence research in the social sciences covering the period 2015–2025.

The raw dataset consists of the full records and cited references exported from the Web of Science Core Collection in plain text (.txt) format. The normalized dataset consists of the RData file generated after duplicate record removal, reference matching, and term normalization procedures conducted within the bibliometrix/Biblioshiny environment.

Due to licensing restrictions of the Web of Science database, access to the files in this record is restricted. Access requests are evaluated exclusively for academic and non-commercial research purposes, and access is granted upon approval.

Files:





TUM_VERI_7809.txt – Web of Science full records and cited references




M_normalleştirilmiş.RData – Cleaned and normalized bibliometric dataset (Biblioshiny/bibliometrix compatible)
DOI: 10.57841/casdc.0006997
title: 和频光谱信号的时间和光谱分辨测量数据集
DOI: 10.17026/dans-26h-xn4n
title: Survey Integratie Minderheden 2020 - SIM2020

description: &lt;p&gt;De Survey Integratie Minderheden is opgezet om inzicht te krijgen in de integratie van de belangrijkste minderheidsgroeperingen. SIM2020 is uitgevoerd onder personen met een Turkse, Marokkaanse, Surinaamse, Poolse, Iraanse, Somalische achtergrond, een achtergrond in het Caribisch deel van het Koninkrijk (Aruba, Curaçao, Sint Maarten, Bonaire, Sint Eustatius en Saba) en personen zonder migratieachtergrond. Bij SIM2006 en SIM2010/2011 bestond de doelpopulatie uit Turkse, Marokkaanse, Antilliaanse en Surinaamse Nederlanders; bij SIM2015 zijn daar Poolse en Somalische Nederlanders aan toegevoegd.&lt;/p&gt;&lt;p&gt;Het doel van SIM2020 is om de positie van de genoemde groepen in Nederland in kaart te brengen en, door aan te sluiten op eerder survey onderzoek, de integratie van deze groepen door de tijd heen volgen. Aan deze groepen en aan een vergelijkingsgroep van autochtone Nederlanders zijn vragen gesteld over onder meer onderwijs, arbeid, sociale contacten, culturele integratie, godsdienst, beeldvorming en gezondheid en sport.&lt;/p&gt;&lt;p&gt;De onderzoeksopzet is ingrijpend gewijzigd. Het CAWI-veldwerk is volgens planning in maart 2020 gestart, maar vanwege de uitbraak van de coronapandemie en de aankondiging van de eerste lockdown en bijbehorende maatregelen kon begin april niet met het CAPI-veldwerk worden begonnen. Het CAPI-veldwerk heeft daardoor in de periode september-december 2020 plaatsgevonden. Het CAWI-veldwerk is januari 2021 afgesloten.&lt;/p&gt;&lt;p&gt;Van SIM2020 is, in samenspraak met het CBS, een CCF databestand (Controlled Circulation File) opgesteld. Dit is een geanonimiseerd bestand. Uit het oorspronkelijke databestand zijn variabelen verwijderd of ingedikt. Door deze beveiliging zijn antwoorden niet meer direct te herleiden naar respondenten.&lt;/p&gt;
DOI: 10.5281/zenodo.17715861
title: One Spiro to Shift Them All: Tuning Fluorescent Organic Nanoparticles Emission via Steric Design
DOI: 10.5281/zenodo.18324973
title: One Spiro to Shift Them All: Tuning Fluorescent Organic Nanoparticles Emission via Steric Design
DOI: 10.5281/zenodo.18338661
title: DUV Raman Spectra of Aqueous Nucleotide/Sulfate Solutions

description: Dataset of deep-ultraviolet Raman spectra of aqueous solutions containing known quantities of the deoxyribonucleotides dATP, dCTP, dGTP, and dTTP mixed with an internal standard, Na2SO4. Data was collected on the MOBIUS instrument at NASA JPL for the article "An Optical Model for Quantitive Raman Spectroscopy" by Joseph Razzell Hollis, published in the journal Applied Spectroscopy in 2020.
DOI: 10.5281/zenodo.18338662
title: DUV Raman Spectra of Aqueous Nucleotide/Sulfate Solutions

description: Dataset of deep-ultraviolet Raman spectra of aqueous solutions containing known quantities of the deoxyribonucleotides dATP, dCTP, dGTP, and dTTP mixed with an internal standard, Na2SO4. Data was collected on the MOBIUS instrument at NASA JPL for the article "An Optical Model for Quantitive Raman Spectroscopy" by Joseph Razzell Hollis, published in the journal Applied Spectroscopy in 2020.
DOI: 10.15468/dl.af93g4
title: Occurrence Download

description: A dataset containing 963 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Lithobates"
 ]
}

 The dataset includes 963 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004826-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ntasmg
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Czechia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Agrostemma githago"
 ]
}

 The dataset includes 57 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004825-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j6x26e
title: Occurrence Download

description: A dataset containing 512 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Eleutherodactylus johnstonei"
 ]
}

 The dataset includes 512 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004827-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17541329
title: Ice-surface velocity in 1996 of Jostedalsbreen ice cap, Norway from European Remote Sensing satellite (ERS-1/-2) data

description: - Dataset description -

This dataset contains x- and y- components of the ice-surface velocity of Jostedalsbreen ice cap in winter 1996. The data covers the southern, northern and some of the central parts of the ice cap.The ice-surface velocity maps were derived from three European Remote Sensing satellite (ERS-1/ERS-2) tandem pairs using InSAR. The ERS-1/ERS-2 ascending pairs were acquired on 20/21 January 1996 and 11/12 February 1996, the descending on 22/23 March 1996. We derived line-of-sight velocities in the GAMMA Remote Sensing Software, which were then combined to a 2D-velocity map with MATLAB.

- Metadata -DimensionsX: 2262 Y: 2391 Bands: 1Origin376000.0000000000000000,6863500.0000000000000000Pixel Size20,-20Coordinate systemEPSG:32632 - WGS 84 / UTM zone 32NUnitsmeters per day

How to cite this dataset:Schellenberger, T., & Åkesson, H. (2025). Ice-surface velocity in 1996 of Jostedalsbreen ice cap, Norway from European Remote Sensing satellite (ERS-1/-2) data [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17541329

Please also cite the following study if you use this dataset:Åkesson, H., Sjursen, K. H., Vikhamar Schuler, T., Dunse, T., Andreassen, L. M., Kusk Gillespie, M., Robson, B. A., Schellenberger, T., and Clement Yde, J.: Recent history and future demise of Jostedalsbreen, the largest ice cap in mainland Europe, The Cryosphere, 19, 5871–5902, https://doi.org/10.5194/tc-19-5871-2025, 2025.
DOI: 10.5281/zenodo.17541328
title: Ice-surface velocity in 1996 of Jostedalsbreen ice cap, Norway from European Remote Sensing satellite (ERS-1/-2) data

description: - Dataset description -

This dataset contains x- and y- components of the ice-surface velocity of Jostedalsbreen ice cap in winter 1996. The data covers the southern, northern and some of the central parts of the ice cap.The ice-surface velocity maps were derived from three European Remote Sensing satellite (ERS-1/ERS-2) tandem pairs using InSAR. The ERS-1/ERS-2 ascending pairs were acquired on 20/21 January 1996 and 11/12 February 1996, the descending on 22/23 March 1996. We derived line-of-sight velocities in the GAMMA Remote Sensing Software, which were then combined to a 2D-velocity map with MATLAB.

- Metadata -DimensionsX: 2262 Y: 2391 Bands: 1Origin376000.0000000000000000,6863500.0000000000000000Pixel Size20,-20Coordinate systemEPSG:32632 - WGS 84 / UTM zone 32NUnitsmeters per day

How to cite this dataset:Schellenberger, T., & Åkesson, H. (2025). Ice-surface velocity in 1996 of Jostedalsbreen ice cap, Norway from European Remote Sensing satellite (ERS-1/-2) data [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17541329

Please also cite the following study if you use this dataset:Åkesson, H., Sjursen, K. H., Vikhamar Schuler, T., Dunse, T., Andreassen, L. M., Kusk Gillespie, M., Robson, B. A., Schellenberger, T., and Clement Yde, J.: Recent history and future demise of Jostedalsbreen, the largest ice cap in mainland Europe, The Cryosphere, 19, 5871–5902, https://doi.org/10.5194/tc-19-5871-2025, 2025.
DOI: 10.6084/m9.figshare.31125037
title: data support manuscript "Chimeric antigen receptor regulatory T cells suppress acetylcholine receptor-specific B cells"

description: This data support manuscript "Chimeric antigen receptor regulatory T cells suppress acetylcholine receptor-specific B cells"
DOI: 10.6084/m9.figshare.31125037.v1
title: data support manuscript "Chimeric antigen receptor regulatory T cells suppress acetylcholine receptor-specific B cells"

description: This data support manuscript "Chimeric antigen receptor regulatory T cells suppress acetylcholine receptor-specific B cells"
DOI: 10.15468/dl.qecyjx
title: Occurrence Download

description: A dataset containing 396799 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Helminthostachys zeylanica, Ophioglossum reticulatum, Lindsaea ensifolia, Histiopteris incisa, Nephrolepis hirsutula, Xanthocyparis nootkatensis, Cupressus cashmeriana, Cupressus duclouxiana, Cupressus funebris, Cupressus chengiana, Cupressus dupreziana, Widdringtonia whytei, Callitris baileyi, Callitris neocaledonica, Callitris sulcata, Athrotaxis selaginoides, Athrotaxis laxifolia, Athrotaxis cupressoides, Larix kaempferi, Larix decidua, Larix laricina, Larix mastersiana, Larix potaninii, Larix griffithii, Larix occidentalis, Larix sibirica, Lagarostrobos franklinii, Microcachrys tetragona, Pherosphaera hookeriana, Psilotum nudum, Microlaena stipoides, Chordifex sphacelatus, Lepidobolus chaetocephalus, Calorophus erostris, Desmocladus myriocladus, Desmocladus parthenicus, Desmocladus fasciculatus, Schoenus subflavus, Schoenus racemosus, Schoenus subfascicularis, Schoenus pleiostemoneus, Schoenus brevisetis, Schoenus curvifolius, Gahnia ancistrophylla, Gahnia australis, Carpha curvata, Carpha rodwayi, Caustis dioica, Rhynchospora corymbosa, Lepidosperma leptostachyum)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 396799 records from 1504 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004751-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15687828
title: Structural analysis of clingstone and freestone peach (Prunus persica L.) plastome genome: provides insight into phylogeny and time diversification

description: The complete plastome genome (plastome) provides vital information for determining evolutionary relationships among Prunus species. We compared plastome variations using two peach cultivars, Clingstone (CLS) and Freestone (FRS), the wild relative P. mira (Koehne), and 22 previously published Prunus plastomes. The results indicate that the 25 plastomes possess a typical quadripartite structure, with sizes ranging from 157,685 bp to 158,955 bp and an average GC content of 37.72%. Significant structural variations, including distinctive gene rearrangements and changes at the boundaries between the Inverted Repeat (IR), Large Single-Copy (LSC), and Small Single-Copy (SSC) regions, were observed. These variations highlight potential hotspot regions, including variable Simple Sequence Repeats (SSRs) and codon usage patterns, which could be valuable for future evolutionary studies. Polymorphic SSR loci were identified in the 25 plastome genomes, with sizes ranging from 559 to 1064 bp, including mono-, di-, penta-, and hexanucleotide sequences. We investigated SSR loci, which ranged from 559 to 1064 bp and the codon usage patterns revealing a total of 40 genes 28 single-copy and 12 multi-copy genes across all constructed plastome genomes. Phylogenomic analysis inferred strongly supported monophyletic groups, revealing clear evolutionary relationships among peach, cherry, and almond clades. The divergence time estimates showed that the CLS and FRS peach cultivars, and a wild relative (P. mira Koehne) diverged approximately 35.15 Mya. This study offers significant insights of the plastome evolution of CLS and FRS cultivars, highlighting potential uses for genetic improvement of peach fruit texture and species identification at subspecies level in breeding programs.
DOI: 10.5281/zenodo.15687829
title: Structural analysis of clingstone and freestone peach (Prunus persica L.) plastome genome: provides insight into phylogeny and time diversification

description: The complete plastome genome (plastome) provides vital information for determining evolutionary relationships among Prunus species. We compared plastome variations using two peach cultivars, Clingstone (CLS) and Freestone (FRS), the wild relative P. mira (Koehne), and 22 previously published Prunus plastomes. The results indicate that the 25 plastomes possess a typical quadripartite structure, with sizes ranging from 157,685 bp to 158,955 bp and an average GC content of 37.72%. Significant structural variations, including distinctive gene rearrangements and changes at the boundaries between the Inverted Repeat (IR), Large Single-Copy (LSC), and Small Single-Copy (SSC) regions, were observed. These variations highlight potential hotspot regions, including variable Simple Sequence Repeats (SSRs) and codon usage patterns, which could be valuable for future evolutionary studies. Polymorphic SSR loci were identified in the 25 plastome genomes, with sizes ranging from 559 to 1064 bp, including mono-, di-, penta-, and hexanucleotide sequences. We investigated SSR loci, which ranged from 559 to 1064 bp and the codon usage patterns revealing a total of 40 genes 28 single-copy and 12 multi-copy genes across all constructed plastome genomes. Phylogenomic analysis inferred strongly supported monophyletic groups, revealing clear evolutionary relationships among peach, cherry, and almond clades. The divergence time estimates showed that the CLS and FRS peach cultivars, and a wild relative (P. mira Koehne) diverged approximately 35.15 Mya. This study offers significant insights of the plastome evolution of CLS and FRS cultivars, highlighting potential uses for genetic improvement of peach fruit texture and species identification at subspecies level in breeding programs.