cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15151/esrf-es-427418780
title: Coupling X-ray microtomography imaging and acoustic emission monitoring to unravel laboratory earthquakes: The KORE apparatus

description: Earthquakes initiate at 5-15 km depth and cannot be observed directly in situ. Therefore, laboratory experiments were developed in the past 50 years to reproduce and study laboratory earthquakes to unravel the mechanisms of rock deformation prior and during seismic slip. However, all experiments are limited by that fact that is it not possible to measure at the same time the seismic and aseismic components of deformation and image the interior of the samples as the microstructure evolves toward brittle failure. We have developed a new rock deformation apparatus, the KORE rig, installed on beamline ID19 at ESRF, which couples X-ray tomography and acoustic emission recording while reproducing conditions of temperature and stress at 10 km depth. We plan to rock deformation experiments using the KORE apparatus to elucidate the real-time fault propagation in 3D rock samples and so characterize the link between delocalized faulting, and slow and fast slip events.
DOI: 10.5517/ccdc.csd.cc23sn8v
title: CCDC 1960107: Experimental Crystal Structure Determination

description: Related Article: Maxim  R. Demidov, Dmitry V. Osipov, Vitaly A. Osyanin, Yuri   N. Klimochkin, Victor B. Rybakov|2019|CSD Communication|||
description: Related Article: Maxim R. Demidov, Vitaly A. Osyanin, Dmitry V. Osipov, Yuri N. Klimochkin|2021|J.Org.Chem.|86|7460|doi:10.1021/acs.joc.1c00423
DOI: 10.5517/ccdc.csd.cc23x7pz
title: CCDC 1963561: Experimental Crystal Structure Determination

description: Related Article: Maxim R. Demidov, Dmitry V. Osipov, Vitaly A. Osyanin, Yuri N. Klimochkin, Victor B. Rybakov|2019|CSD Communication|||
description: Related Article: Maxim R. Demidov, Vitaly A. Osyanin, Dmitry V. Osipov, Yuri N. Klimochkin|2021|J.Org.Chem.|86|7460|doi:10.1021/acs.joc.1c00423
DOI: 10.6084/m9.figshare.14737368
title: Supplemental Table S1.pdf

description: Repeated measures ANOVA LSM for BCAA, Met, Gln, Glu, and Ala concentrations in plasma in the prepartum period.
DOI: 10.6084/m9.figshare.14737368.v1
title: Supplemental Table S1.pdf

description: Repeated measures ANOVA LSM for BCAA, Met, Gln, Glu, and Ala concentrations in plasma in the prepartum period.
DOI: 10.5517/ccdc.csd.cc26g71z
title: CCDC 2039460: Experimental Crystal Structure Determination

description: Related Article: Alexander A. Bredikhin, Dmitry V. Zakharychev, Aidar T. Gubaidullin, Aida I. Samigullina, Zemfira A. Bredikhina|2021|Cryst.Growth Des.|21|3211|doi:10.1021/acs.cgd.0c01570
DOI: 10.5517/ccdc.csd.cc26k99d
title: CCDC 2042413: Experimental Crystal Structure Determination

description: Related Article: Katarzyna Choroba, Sonia Kotowicz, Anna Maroń, Anna Świtlicka, Agata Szłapa-Kula, Mariola Siwy, Justyna Grzelak, Karolina Sulowska, Sebastian Maćkowski, Ewa Schab-Balcerzak, Barbara Machura|2021|Dyes Pigm.|192|109472|doi:10.1016/j.dyepig.2021.109472
DOI: 10.5517/ccdc.csd.cc26k9bf
title: CCDC 2042414: Experimental Crystal Structure Determination

description: Related Article: Katarzyna Choroba, Sonia Kotowicz, Anna Maroń, Anna Świtlicka, Agata Szłapa-Kula, Mariola Siwy, Justyna Grzelak, Karolina Sulowska, Sebastian Maćkowski, Ewa Schab-Balcerzak, Barbara Machura|2021|Dyes Pigm.|192|109472|doi:10.1016/j.dyepig.2021.109472
DOI: 10.5517/ccdc.csd.cc26k9cg
title: CCDC 2042415: Experimental Crystal Structure Determination

description: Related Article: Katarzyna Choroba, Sonia Kotowicz, Anna Maroń, Anna Świtlicka, Agata Szłapa-Kula, Mariola Siwy, Justyna Grzelak, Karolina Sulowska, Sebastian Maćkowski, Ewa Schab-Balcerzak, Barbara Machura|2021|Dyes Pigm.|192|109472|doi:10.1016/j.dyepig.2021.109472
DOI: 10.5517/ccdc.csd.cc26khpz
title: CCDC 2042611: Experimental Crystal Structure Determination

description: Related Article: Stanislav S. Shatokhin, Vladislav A. Tuskaev, Svetlana Ch Gagieva, EkaterinaYu Rybalkina, Dmitry I. Pozdnyakov, Elizaveta K. Melnikova, Gleb L. Denisov, Sergey V. Zubkevich, Eduard T. Oganesyan|2021|J.Mol.Struct.|1241|130706|doi:10.1016/j.molstruc.2021.130706
DOI: 10.5517/ccdc.csd.cc26khq0
title: CCDC 2042612: Experimental Crystal Structure Determination

description: Related Article: Stanislav S. Shatokhin, Vladislav A. Tuskaev, Svetlana Ch Gagieva, EkaterinaYu Rybalkina, Dmitry I. Pozdnyakov, Elizaveta K. Melnikova, Gleb L. Denisov, Sergey V. Zubkevich, Eduard T. Oganesyan|2021|J.Mol.Struct.|1241|130706|doi:10.1016/j.molstruc.2021.130706
DOI: 10.5517/ccdc.csd.cc26m400
title: CCDC 2044171: Experimental Crystal Structure Determination

description: Related Article: Hequn Yang, Aytilla Mamatjan, Dan Tang, Haji Akber Aisa|2021|Bioorg.Chem.|112|104989|doi:10.1016/j.bioorg.2021.104989
DOI: 10.5517/ccdc.csd.cc26m411
title: CCDC 2044172: Experimental Crystal Structure Determination

description: Related Article: Hequn Yang, Aytilla Mamatjan, Dan Tang, Haji Akber Aisa|2021|Bioorg.Chem.|112|104989|doi:10.1016/j.bioorg.2021.104989
DOI: 10.5517/ccdc.csd.cc26yvrs
title: CCDC 2054486: Experimental Crystal Structure Determination

description: Related Article: Jan-Joris Devogelaer, Maxime D. Charpentier, Arnoud Tijink, Valérie Dupray, Gérard Coquerel, Karen Johnston, Hugo Meekes, Paul Tinnemans, Elias Vlieg, Joop H. ter Horst, René de Gelder|2021|Cryst.Growth Des.|21|3428|doi:10.1021/acs.cgd.1c00211
DOI: 10.5517/ccdc.csd.cc26yvst
title: CCDC 2054487: Experimental Crystal Structure Determination

description: Related Article: Jan-Joris Devogelaer, Maxime D. Charpentier, Arnoud Tijink, Valérie Dupray, Gérard Coquerel, Karen Johnston, Hugo Meekes, Paul Tinnemans, Elias Vlieg, Joop H. ter Horst, René de Gelder|2021|Cryst.Growth Des.|21|3428|doi:10.1021/acs.cgd.1c00211
DOI: 10.5517/ccdc.csd.cc26yvtv
title: CCDC 2054488: Experimental Crystal Structure Determination

description: Related Article: Jan-Joris Devogelaer, Maxime D. Charpentier, Arnoud Tijink, Valérie Dupray, Gérard Coquerel, Karen Johnston, Hugo Meekes, Paul Tinnemans, Elias Vlieg, Joop H. ter Horst, René de Gelder|2021|Cryst.Growth Des.|21|3428|doi:10.1021/acs.cgd.1c00211
DOI: 10.5517/ccdc.csd.cc26yvvw
title: CCDC 2054489: Experimental Crystal Structure Determination

description: Related Article: Jan-Joris Devogelaer, Maxime D. Charpentier, Arnoud Tijink, Valérie Dupray, Gérard Coquerel, Karen Johnston, Hugo Meekes, Paul Tinnemans, Elias Vlieg, Joop H. ter Horst, René de Gelder|2021|Cryst.Growth Des.|21|3428|doi:10.1021/acs.cgd.1c00211
DOI: 10.5517/ccdc.csd.cc26yvwx
title: CCDC 2054490: Experimental Crystal Structure Determination

description: Related Article: Jan-Joris Devogelaer, Maxime D. Charpentier, Arnoud Tijink, Valérie Dupray, Gérard Coquerel, Karen Johnston, Hugo Meekes, Paul Tinnemans, Elias Vlieg, Joop H. ter Horst, René de Gelder|2021|Cryst.Growth Des.|21|3428|doi:10.1021/acs.cgd.1c00211
DOI: 10.5517/ccdc.csd.cc26yvxy
title: CCDC 2054491: Experimental Crystal Structure Determination

description: Related Article: Jan-Joris Devogelaer, Maxime D. Charpentier, Arnoud Tijink, Valérie Dupray, Gérard Coquerel, Karen Johnston, Hugo Meekes, Paul Tinnemans, Elias Vlieg, Joop H. ter Horst, René de Gelder|2021|Cryst.Growth Des.|21|3428|doi:10.1021/acs.cgd.1c00211
DOI: 10.5517/ccdc.csd.cc26yvyz
title: CCDC 2054492: Experimental Crystal Structure Determination

description: Related Article: Jan-Joris Devogelaer, Maxime D. Charpentier, Arnoud Tijink, Valérie Dupray, Gérard Coquerel, Karen Johnston, Hugo Meekes, Paul Tinnemans, Elias Vlieg, Joop H. ter Horst, René de Gelder|2021|Cryst.Growth Des.|21|3428|doi:10.1021/acs.cgd.1c00211
DOI: 10.5517/ccdc.csd.cc26yvz0
title: CCDC 2054493: Experimental Crystal Structure Determination

description: Related Article: Jan-Joris Devogelaer, Maxime D. Charpentier, Arnoud Tijink, Valérie Dupray, Gérard Coquerel, Karen Johnston, Hugo Meekes, Paul Tinnemans, Elias Vlieg, Joop H. ter Horst, René de Gelder|2021|Cryst.Growth Des.|21|3428|doi:10.1021/acs.cgd.1c00211
DOI: 10.5517/ccdc.csd.cc26yw02
title: CCDC 2054494: Experimental Crystal Structure Determination

description: Related Article: Jan-Joris Devogelaer, Maxime D. Charpentier, Arnoud Tijink, Valérie Dupray, Gérard Coquerel, Karen Johnston, Hugo Meekes, Paul Tinnemans, Elias Vlieg, Joop H. ter Horst, René de Gelder|2021|Cryst.Growth Des.|21|3428|doi:10.1021/acs.cgd.1c00211
DOI: 10.5517/ccdc.csd.cc26yw13
title: CCDC 2054495: Experimental Crystal Structure Determination

description: Related Article: Jan-Joris Devogelaer, Maxime D. Charpentier, Arnoud Tijink, Valérie Dupray, Gérard Coquerel, Karen Johnston, Hugo Meekes, Paul Tinnemans, Elias Vlieg, Joop H. ter Horst, René de Gelder|2021|Cryst.Growth Des.|21|3428|doi:10.1021/acs.cgd.1c00211
DOI: 10.5517/ccdc.csd.cc26yw24
title: CCDC 2054496: Experimental Crystal Structure Determination

description: Related Article: Jan-Joris Devogelaer, Maxime D. Charpentier, Arnoud Tijink, Valérie Dupray, Gérard Coquerel, Karen Johnston, Hugo Meekes, Paul Tinnemans, Elias Vlieg, Joop H. ter Horst, René de Gelder|2021|Cryst.Growth Des.|21|3428|doi:10.1021/acs.cgd.1c00211
DOI: 10.5517/ccdc.csd.cc26yw35
title: CCDC 2054497: Experimental Crystal Structure Determination

description: Related Article: Jan-Joris Devogelaer, Maxime D. Charpentier, Arnoud Tijink, Valérie Dupray, Gérard Coquerel, Karen Johnston, Hugo Meekes, Paul Tinnemans, Elias Vlieg, Joop H. ter Horst, René de Gelder|2021|Cryst.Growth Des.|21|3428|doi:10.1021/acs.cgd.1c00211
DOI: 10.5517/ccdc.csd.cc273mmm
title: CCDC 2059070: Experimental Crystal Structure Determination

description: Related Article: Hequn Yang, Aytilla Mamatjan, Dan Tang, Haji Akber Aisa|2021|Bioorg.Chem.|112|104989|doi:10.1016/j.bioorg.2021.104989
DOI: 10.5517/ccdc.csd.cc273n01
title: CCDC 2059082: Experimental Crystal Structure Determination

description: Related Article: Hequn Yang, Aytilla Mamatjan, Dan Tang, Haji Akber Aisa|2021|Bioorg.Chem.|112|104989|doi:10.1016/j.bioorg.2021.104989
DOI: 10.5517/ccdc.csd.cc274ncf
title: CCDC 2060054: Experimental Crystal Structure Determination

description: Related Article: Fang-Yu Yuan, Fan Xu, Run-Zhu Fan, Wei Li, Dong Huang, Gui-Hua Tang, Tao Yuan, Li-She Gan, Sheng Yin|2021|J.Org.Chem.|86|7588|doi:10.1021/acs.joc.1c00631
DOI: 10.5517/ccdc.csd.cc274nqs
title: CCDC 2060065: Experimental Crystal Structure Determination

description: Related Article: Fang-Yu Yuan, Fan Xu, Run-Zhu Fan, Wei Li, Dong Huang, Gui-Hua Tang, Tao Yuan, Li-She Gan, Sheng Yin|2021|J.Org.Chem.|86|7588|doi:10.1021/acs.joc.1c00631
DOI: 10.5517/ccdc.csd.cc26g6zw
title: CCDC 2039458: Experimental Crystal Structure Determination

description: Related Article: Alexander A. Bredikhin, Dmitry V. Zakharychev, Aidar T. Gubaidullin, Aida I. Samigullina, Zemfira A. Bredikhina|2021|Cryst.Growth Des.|21|3211|doi:10.1021/acs.cgd.0c01570
DOI: 10.34740/kaggle/dsv/2304573
title: miplug_usage
DOI: 10.5519/qd.2ik6ygy3
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (775373 records)
DOI: 10.6084/m9.figshare.14635458
title: Raw_Sequence_Data

description: Please email fsong@lbl.gov for any questions.
DOI: 10.5281/zenodo.4902920
title: Dataset used to reproduce graphs in the SC21 submission "Understanding why machine learning models of I/O fail: A taxonomy of I/O throughput modelling errors"

description: Three datasets necessary to reproduce figures in our SC21 submission titled "Understanding why machine learning models of \\ I/O fail: A taxonomy of I/O throughput modelling errors". The darshan_theta_2017_2020.csv file is a CSV file constructed from Darshan logs, where every row represents an HPC job ran on ALCF Theta, and each column is a different feature of the job. This data is <em>post-processed</em>, in order to simplify reproduction of the paper. It is also anonymized, where the apps_short column represents the anonymized name of the application. The cobalt_theta_2017_2020.csv file contains Cobalt scheduler logs, where UIDs of allocations correspond to Darshan job UIDs. This data is also public, and is not preprocessed, only aggregated over 4 years. The gauge_data.csv contains data from a single cluster of HPC jobs, collected using the Gauge tool (https://gauge.ascslab-tools.org). This data is a strict subset of the Darshan CSV listed above.
DOI: 10.5281/zenodo.4902919
title: Dataset used to reproduce graphs in the SC21 submission "Understanding why machine learning models of I/O fail: A taxonomy of I/O throughput modelling errors"

description: Three datasets necessary to reproduce figures in our SC21 submission titled "Understanding why machine learning models of \\ I/O fail: A taxonomy of I/O throughput modelling errors". The darshan_theta_2017_2020.csv file is a CSV file constructed from Darshan logs, where every row represents an HPC job ran on ALCF Theta, and each column is a different feature of the job. This data is <em>post-processed</em>, in order to simplify reproduction of the paper. It is also anonymized, where the apps_short column represents the anonymized name of the application. The cobalt_theta_2017_2020.csv file contains Cobalt scheduler logs, where UIDs of allocations correspond to Darshan job UIDs. This data is also public, and is not preprocessed, only aggregated over 4 years. The gauge_data.csv contains data from a single cluster of HPC jobs, collected using the Gauge tool (https://gauge.ascslab-tools.org). This data is a strict subset of the Darshan CSV listed above.
DOI: 10.6084/m9.figshare.14635458.v1
title: Raw_Sequence_Data

description: Please email fsong@lbl.gov for any questions.
DOI: 10.5281/zenodo.4902941
title: Quantification of the water age and submarine groundwater discharge in a typical semi-enclosed bay: Using stable oxygen (18O) and radioactive radium (228Ra) isotopes

description: <strong>Quantification of the water age and submarine groundwater discharge in a typical semi-enclosed bay: Using stable oxygen (<sup>18</sup>O) and radioactive radium (<sup>228</sup>Ra) isotopes</strong>
DOI: 10.5281/zenodo.4902940
title: Quantification of the water age and submarine groundwater discharge in a typical semi-enclosed bay: Using stable oxygen (18O) and radioactive radium (228Ra) isotopes

description: <strong>Quantification of the water age and submarine groundwater discharge in a typical semi-enclosed bay: Using stable oxygen (<sup>18</sup>O) and radioactive radium (<sup>228</sup>Ra) isotopes</strong>
DOI: 10.6084/m9.figshare.14737464
title: Untitled Item

description: Absolute pre-post changes
DOI: 10.6084/m9.figshare.14737464.v1
title: Untitled Item

description: Absolute pre-post changes
DOI: 10.6084/m9.figshare.14608320
title: Legacy of pre-eruption vegetation affects ground-dwelling arthropod communities after different types of volcanic disturbance (datasets)

description: 1. Iida_et_al.2021_arthropod.community.csv<br>Abundance data of the field survey sampling described in the manuscript. <br>Contain the abundance of each observed species in each sampling site.<br><br>2. Iida_et_al.2021_coordinates.csv<br>Coordinates data of the sampling sites of the field survey sampling.<br><br>3. Iida_et_al.2021_environments.csv<br>Physical environments data of the field survey sampling described in the manuscript.<br>Contain the values of two environment variables in each sampling site.<br>
DOI: 10.6084/m9.figshare.14608320.v1
title: Legacy of pre-eruption vegetation affects ground-dwelling arthropod communities after different types of volcanic disturbance (datasets)

description: 1. Iida_et_al.2021_arthropod.community.csv<br>Abundance data of the field survey sampling described in the manuscript. <br>Contain the abundance of each observed species in each sampling site.<br><br>2. Iida_et_al.2021_coordinates.csv<br>Coordinates data of the sampling sites of the field survey sampling.<br><br>3. Iida_et_al.2021_environments.csv<br>Physical environments data of the field survey sampling described in the manuscript.<br>Contain the values of two environment variables in each sampling site.<br>
DOI: 10.48512/xcv8459506
title: Becoming Hopi ceramic counts

description: Ceramic counts used in population estimates in Chapter 6 of "Becoming Hopi: A History" (2021, University of Arizona Press). For the full ceramic data set, please see the Heritage Southwest ceramic database (https://www.archaeologysouthwest.org/projects/the-heritage-southwest-database/). The ceramic data are also available in a searchable database at https://cybersw.org/.
DOI: 10.48512/xcv8459538
title: Room size and hearth data

description: Room size and hearth data used in the 2021 publication "Becoming Hopi: A History" (University of Arizona Press).
DOI: 10.25919/yfnz-kw32
title: Parkes observations for project P456 semester 2021APRS_03

description: The Parkes Pulsar Timing Array (PPTA) project has three primary goals: (a) detection of gravitational waves from astronomical sources, (b) establishment of a pulsar timescale, and (c) improvement of our understanding of Solar-system dynamics. The PPTA is the oldest of three international pulsar timing groups. We have the smallest telescope and the smallest group, but the best measurements and the best results. Our bound on the strength of the incoherent gravitational wave background is the only bound which significantly constrains theoretical models. We have maintained our leading position because: we have the southern sky; we have a small but well-focussed group; we have the best-calibrated receivers; and we have been able to observe with an almost regular cadence of 15 to 20 days over a wide bandwidth. With this proposal we aim to maintain our pre-eminent position in the field. Unlike most observing proposals, this is a continuing proposal for which the observations will continue to improve bounds on ultra-low-frequency gravitational waves until they are finally detected. Continued Parkes observations will remain valuable at least until the first stage of the SKA is able to improve on our sensitivity and observing cadence. Even after the gravitational wave background is detected we will want to continue observations in support of the nascent field of gravitational wave astronomy!
DOI: 10.34740/kaggle/dsv/2304762
title: LUFlow Network Intrusion Detection Data Set
DOI: 10.6084/m9.figshare.14737475.v1
title: Table S3. Quasispecies reconstruction statistics. from Testing the genomic stability of the Brazilian yellow fever vaccine strain using next-generation sequencing data

description: Table S3. Quasispecies reconstruction statistics.
DOI: 10.6084/m9.figshare.14737472.v1
title: Table S1. Genome assembly and alignment statistics. from Testing the genomic stability of the Brazilian yellow fever vaccine strain using next-generation sequencing data

description: Table S1. Genome assembly and alignment statistics.
DOI: 10.6084/m9.figshare.14737469.v1
title: Table S2. Single Nucleotide Polymorphism (SNPs) statistics. from Testing the genomic stability of the Brazilian yellow fever vaccine strain using next-generation sequencing data

description: Table S2. Single Nucleotide Polymorphism (SNPs) statistics.
DOI: 10.6084/m9.figshare.14737466.v1
title: Table S4. Comparison of algorithms used to develop the V2IDA pipeline. from Testing the genomic stability of the Brazilian yellow fever vaccine strain using next-generation sequencing data

description: Table S4. Comparison of algorithms used to develop the V2IDA pipeline.
DOI: 10.6084/m9.figshare.14737475
title: Table S3. Quasispecies reconstruction statistics. from Testing the genomic stability of the Brazilian yellow fever vaccine strain using next-generation sequencing data

description: Table S3. Quasispecies reconstruction statistics.
DOI: 10.6084/m9.figshare.14737472
title: Table S1. Genome assembly and alignment statistics. from Testing the genomic stability of the Brazilian yellow fever vaccine strain using next-generation sequencing data

description: Table S1. Genome assembly and alignment statistics.
DOI: 10.6084/m9.figshare.14737469
title: Table S2. Single Nucleotide Polymorphism (SNPs) statistics. from Testing the genomic stability of the Brazilian yellow fever vaccine strain using next-generation sequencing data

description: Table S2. Single Nucleotide Polymorphism (SNPs) statistics.
DOI: 10.6084/m9.figshare.14737466
title: Table S4. Comparison of algorithms used to develop the V2IDA pipeline. from Testing the genomic stability of the Brazilian yellow fever vaccine strain using next-generation sequencing data

description: Table S4. Comparison of algorithms used to develop the V2IDA pipeline.
DOI: 10.6084/m9.figshare.14737488
title: data

description: The data for IEEE 34-bus test system
DOI: 10.5281/zenodo.4674274
title: Mammary cell gene expression atlas links epithelial cell remodeling events to breast carcinogenesis (scripts and data)

description: The female mammary epithelium undergoes reorganization during development, pregnancy, and menopause, linking to higher risks of developing breast cancer. To characterize these periods of complex remodeling, here we report integrated 50K mouse and 24K human mammary epithelial cell atlas obtained by single-cell RNA sequencing, which covers most lifetime stages. Our results indicate a putative trajectory that originates from embryonic mammary stem cells which differentiates into three epithelial lineages (basal, luminal hormone-sensing, and luminal alveolar), presumably arising from unipotent progenitors in postnatal glands. The identified lineage-specific genes inferred cells of origin of breast cancer using The Cancer Genome Atlas data and single-cell RNA sequencing of human breast cancer, as well as the association of gland reorganization to different breast cancer subtypes. This comprehensive murine mammary cell gene expression atlas (https://mouse-mammary-epithelium-integrated.cells.ucsc.edu) presented novel insights into the impact of the internal and external stimuli on the mammary epithelium at an advanced resolution. This dataset includes all the relevant scripts and data associated with the publication in the Communications Biology journal.
DOI: 10.5281/zenodo.4674273
title: Mammary cell gene expression atlas links epithelial cell remodeling events to breast carcinogenesis (scripts and data)

description: The female mammary epithelium undergoes reorganization during development, pregnancy, and menopause, linking to higher risks of developing breast cancer. To characterize these periods of complex remodeling, here we report integrated 50K mouse and 24K human mammary epithelial cell atlas obtained by single-cell RNA sequencing, which covers most lifetime stages. Our results indicate a putative trajectory that originates from embryonic mammary stem cells which differentiates into three epithelial lineages (basal, luminal hormone-sensing, and luminal alveolar), presumably arising from unipotent progenitors in postnatal glands. The identified lineage-specific genes inferred cells of origin of breast cancer using The Cancer Genome Atlas data and single-cell RNA sequencing of human breast cancer, as well as the association of gland reorganization to different breast cancer subtypes. This comprehensive murine mammary cell gene expression atlas (https://mouse-mammary-epithelium-integrated.cells.ucsc.edu) presented novel insights into the impact of the internal and external stimuli on the mammary epithelium at an advanced resolution. This dataset includes all the relevant scripts and data associated with the publication in the Communications Biology journal.