cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25493/a9dq-txc
title: Density measurements of different receptors for CA1 (Hippocampus) [rat]

description: This dataset contains the densities (in fmol/mg protein) of receptors for classical neurotransmitters of CA1 (hippocampus) obtained by means of quantitative _in vitro_ autoradiography. The receptor densities are visualized as _fingerprints_ (**fp**), which provide the mean density and standard deviation for each of the analyzed receptor types, averaged across samples. Information on the used tissue samples and corresponding subjects, as well as analyzed receptors accompanies each provided dataset version.
DOI: 10.25493/sh70-pdf
title: Density measurements of different receptors for CA, stratum cellulare (Hippocampus) [rat]

description: This dataset contains the densities (in fmol/mg protein) of receptors for classical neurotransmitters of CA, stratum cellulare (hippocampus) obtained by means of quantitative _in vitro_ autoradiography. The receptor densities are visualized as _fingerprints_ (**fp**), which provide the mean density and standard deviation for each of the analyzed receptor types, averaged across samples. Information on the used tissue samples and corresponding subjects, as well as analyzed receptors accompanies the provided dataset.
DOI: 10.25493/n8jz-meb
title: Density measurements of different receptors for CA3 (Hippocampus) [human]

description: This dataset contains the densities (in fmol/mg protein) of receptors for classical neurotransmitters of CA3 (Hippocampus) obtained by means of quantitative _in vitro_ autoradiography. The receptor densities are visualized as _fingerprints_ (**fp**), which provide the mean density and standard deviation for each of the analyzed receptor types, averaged across samples. Information on the used tissue samples and corresponding subjects, as well as analyzed receptors accompanies the provided dataset.
DOI: 10.25493/ma1x-v5g
title: Density measurements of different receptors for DG (Hippocampus) [rat]

description: This dataset contains the densities (in fmol/mg protein) of receptors for classical neurotransmitters of DG (hippocampus) obtained by means of quantitative _in vitro_ autoradiography. The receptor densities are visualized as _fingerprints_ (**fp**), which provide the mean density and standard deviation for each of the analyzed receptor types, averaged across samples. Information on the used tissue samples and corresponding subjects, as well as analyzed receptors accompanies the provided dataset.
DOI: 10.25493/k39h-mt1
title: Density measurements of different receptors for CA2 (Hippocampus) [rat]

description: This dataset contains the densities (in fmol/mg protein) of receptors for classical neurotransmitters of CA2 (hippocampus) obtained by means of quantitative _in vitro_ autoradiography. The receptor densities are visualized as _fingerprints_ (**fp**), which provide the mean density and standard deviation for each of the analyzed receptor types, averaged across samples. Information on the used tissue samples and corresponding subjects, as well as analyzed receptors accompanies each provided dataset version.
DOI: 10.25493/ntfw-94s
title: Density measurements of different receptors for CA, stratum moleculare (Hippocampus) [rat]

description: This dataset contains the densities (in fmol/mg protein) of receptors for classical neurotransmitters of CA, stratum moleculare (hippocampus) obtained by means of quantitative _in vitro_ autoradiography. The receptor densities are visualized as _fingerprints_ (**fp**), which provide the mean density and standard deviation for each of the analyzed receptor types, averaged across samples. Information on the used tissue samples and corresponding subjects, as well as analyzed receptors accompanies the provided dataset.
DOI: 10.25493/q9bj-3tw
title: Density measurements of different receptors for CA2 (Hippocampus) [human]

description: This dataset contains the densities (in fmol/mg protein) of receptors for classical neurotransmitters in CA2 (Hippocampus) obtained by means of quantitative _in vitro_ autoradiography. The receptor densities are visualized as _fingerprints_ (**fp**), which provide the mean density and standard deviation for each of the analyzed receptor types, averaged across samples. Information on the used tissue samples and corresponding subjects, as well as analyzed receptors accompanies the provided dataset.
DOI: 10.25493/7d5z-n2r
title: Density measurements of different receptors for CA3 (Hippocampus) [rat]

description: This dataset contains the densities (in fmol/mg protein) of receptors for classical neurotransmitters of CA3 (hippocampus) obtained by means of quantitative _in vitro_ autoradiography. The receptor densities are visualized as _fingerprints_ (**fp**), which provide the mean density and standard deviation for each of the analyzed receptor types, averaged across samples. Information on the used tissue samples and corresponding subjects, as well as analyzed receptors accompanies each provided dataset version.
DOI: 10.25493/73am-fbh
title: Density measurements of different receptors for stratum moleculare of CA (Hippocampus) [human]

description: This dataset contains the densities (in fmol/mg protein) of receptors for classical neurotransmitters in stratum moleculare of CA (Hippocampus) obtained by means of quantitative _in vitro_ autoradiography. The receptor densities are visualized as _fingerprints_ (**fp**), which provide the mean density and standard deviation for each of the analyzed receptor types, averaged across samples. Information on the used tissue samples and corresponding subjects, as well as analyzed receptors accompanies the provided dataset.
DOI: 10.5281/zenodo.6262603
title: Tracer diffusivity in an idealized MITgcm simulation

description: Model setup files, output data and python scripts that are used for a submitted manuscript to JAMES.
DOI: 10.5281/zenodo.6418902
title: Paulinella micropore KR01 manually corrected gene models from selected KEGG pathways

description: Major results files produced from the analysis of the nucleotide biosynthesis, DNA replication, and histidine metabolism pathways in <em>Paulinella micropore</em> KR01. <code>manually_corrected_genes.genome.gff3.gz</code> Gene models (in GFF3 format) of manually corrected <em>P. micropora</em> KR01 genes. <code>manually_corrected_genes.cds.fna.gz</code> CDS of manually corrected <em>P. micropora</em> KR01 genes. <code>manually_corrected_genes.pep.faa.gz</code> Protein sequences of manually corrected <em>P. micropora</em> KR01 genes. <code>fasta.tar.gz</code> Sequences used for phylogenetic analysis of major KEGG Orthologs from the nucleotide biosynthesis, DNA replication, and histidine metabolism pathways. <code>aln.tar.gz</code> Alignments produced by <code>mafft</code> v7.453 (‘--localpair --maxiterate 1000’) that were used for phylogenetic analysis of the major KEGG Orthologs. <code>tree.tar.gz</code> Consensus trees produced by <code>iqtree</code> v1.6.12 (‘-m LG+R7 -bb 2000 -quiet’) that were used for phylogenetic analysis of the major KEGG Orthologs.
DOI: 10.5281/zenodo.6418901
title: Paulinella micropore KR01 manually corrected gene models from selected KEGG pathways

description: Major results files produced from the analysis of the nucleotide biosynthesis, DNA replication, and histidine metabolism pathways in <em>Paulinella micropore</em> KR01. <code>manually_corrected_genes.genome.gff3.gz</code> Gene models (in GFF3 format) of manually corrected <em>P. micropora</em> KR01 genes. <code>manually_corrected_genes.cds.fna.gz</code> CDS of manually corrected <em>P. micropora</em> KR01 genes. <code>manually_corrected_genes.pep.faa.gz</code> Protein sequences of manually corrected <em>P. micropora</em> KR01 genes. <code>fasta.tar.gz</code> Sequences used for phylogenetic analysis of major KEGG Orthologs from the nucleotide biosynthesis, DNA replication, and histidine metabolism pathways. <code>aln.tar.gz</code> Alignments produced by <code>mafft</code> v7.453 (‘--localpair --maxiterate 1000’) that were used for phylogenetic analysis of the major KEGG Orthologs. <code>tree.tar.gz</code> Consensus trees produced by <code>iqtree</code> v1.6.12 (‘-m LG+R7 -bb 2000 -quiet’) that were used for phylogenetic analysis of the major KEGG Orthologs.
DOI: 10.5517/ccdc.csd.cc282nvw
title: CCDC 2087938: Experimental Crystal Structure Determination

description: Related Article: Ying Sun, Suting Xu, Fen You, Xiaochao Shi|2022|Polyhedron|219|115791|doi:10.1016/j.poly.2022.115791
DOI: 10.5517/ccdc.csd.cc282nwx
title: CCDC 2087939: Experimental Crystal Structure Determination

description: Related Article: Ying Sun, Suting Xu, Fen You, Xiaochao Shi|2022|Polyhedron|219|115791|doi:10.1016/j.poly.2022.115791
DOI: 10.5517/ccdc.csd.cc282nxy
title: CCDC 2087940: Experimental Crystal Structure Determination

description: Related Article: Ying Sun, Suting Xu, Fen You, Xiaochao Shi|2022|Polyhedron|219|115791|doi:10.1016/j.poly.2022.115791
DOI: 10.5517/ccdc.csd.cc28685y
title: CCDC 2091389: Experimental Crystal Structure Determination

description: Related Article: Babasaheb Sopan Gore, Chiao-Ying Kuo, Jeh-Jeng Wang|2022|Chem.Commun.|58|4087|doi:10.1039/D2CC00717G
DOI: 10.5517/ccdc.csd.cc286881
title: CCDC 2091392: Experimental Crystal Structure Determination

description: Related Article: Babasaheb Sopan Gore, Chiao-Ying Kuo, Jeh-Jeng Wang|2022|Chem.Commun.|58|4087|doi:10.1039/D2CC00717G
DOI: 10.5517/ccdc.csd.cc2868b3
title: CCDC 2091394: Experimental Crystal Structure Determination

description: Related Article: Babasaheb Sopan Gore, Chiao-Ying Kuo, Jeh-Jeng Wang|2022|Chem.Commun.|58|4087|doi:10.1039/D2CC00717G
DOI: 10.5517/ccdc.csd.cc2868lc
title: CCDC 2091402: Experimental Crystal Structure Determination

description: Related Article: Babasaheb Sopan Gore, Chiao-Ying Kuo, Jeh-Jeng Wang|2022|Chem.Commun.|58|4087|doi:10.1039/D2CC00717G
DOI: 10.5517/ccdc.csd.cc2868nf
title: CCDC 2091404: Experimental Crystal Structure Determination

description: Related Article: Babasaheb Sopan Gore, Chiao-Ying Kuo, Jeh-Jeng Wang|2022|Chem.Commun.|58|4087|doi:10.1039/D2CC00717G
DOI: 10.5517/ccdc.csd.cc28cv9t
title: CCDC 2096756: Experimental Crystal Structure Determination

description: Related Article: Sumanta Kumar Padhi, Manaswini Raj|2021|CSD Communication|||
description: Related Article: Manaswini Raj, Sumanta Kumar Padhi|2022|New J.Chem.|46|6027|doi:10.1039/D1NJ06003A
DOI: 10.5517/ccdc.csd.cc28cvbv
title: CCDC 2096757: Experimental Crystal Structure Determination

description: Related Article: Sumanta Kumar Padhi, Manaswini Raj|2021|CSD Communication|||
description: Related Article: Manaswini Raj, Sumanta Kumar Padhi|2022|New J.Chem.|46|6027|doi:10.1039/D1NJ06003A
DOI: 10.5517/ccdc.csd.cc28q7nx
title: CCDC 2106749: Experimental Crystal Structure Determination

description: Related Article: Cholpisut Tantapakul, Virayu Suthiphasilp, Apirak Payaka, Boonyanoot Chaiyosang, David J. Harding, Worrapong Phuphong, Sarawut Tontapha, Surat Laphookhieo|2022|Phytochemistry|198|113168|doi:10.1016/j.phytochem.2022.113168
DOI: 10.5517/ccdc.csd.cc28qn5v
title: CCDC 2107137: Experimental Crystal Structure Determination

description: Related Article: Shiv Kumar, Pauline Tourneur, Jonathan R. Adsetts, Michael Y. Wong, Pachaiyappan Rajamalli, Dongyang Chen, Roberto Lazzaroni, Pascal Viville, David B. Cordes, Alexandra M. Z. Slawin, Yoann Olivier, Jérôme Cornil, Zhifeng Ding, Eli Zysman-Colman|2022|J.Mater.Chem.C|10|4646|doi:10.1039/D1TC05696D
DOI: 10.5517/ccdc.csd.cc28qn6w
title: CCDC 2107138: Experimental Crystal Structure Determination

description: Related Article: Shiv Kumar, Pauline Tourneur, Jonathan R. Adsetts, Michael Y. Wong, Pachaiyappan Rajamalli, Dongyang Chen, Roberto Lazzaroni, Pascal Viville, David B. Cordes, Alexandra M. Z. Slawin, Yoann Olivier, Jérôme Cornil, Zhifeng Ding, Eli Zysman-Colman|2022|J.Mater.Chem.C|10|4646|doi:10.1039/D1TC05696D
DOI: 10.5517/ccdc.csd.cc28qn7x
title: CCDC 2107139: Experimental Crystal Structure Determination

description: Related Article: Shiv Kumar, Pauline Tourneur, Jonathan R. Adsetts, Michael Y. Wong, Pachaiyappan Rajamalli, Dongyang Chen, Roberto Lazzaroni, Pascal Viville, David B. Cordes, Alexandra M. Z. Slawin, Yoann Olivier, Jérôme Cornil, Zhifeng Ding, Eli Zysman-Colman|2022|J.Mater.Chem.C|10|4646|doi:10.1039/D1TC05696D
DOI: 10.5517/ccdc.csd.cc28qn8y
title: CCDC 2107140: Experimental Crystal Structure Determination

description: Related Article: Shiv Kumar, Pauline Tourneur, Jonathan R. Adsetts, Michael Y. Wong, Pachaiyappan Rajamalli, Dongyang Chen, Roberto Lazzaroni, Pascal Viville, David B. Cordes, Alexandra M. Z. Slawin, Yoann Olivier, Jérôme Cornil, Zhifeng Ding, Eli Zysman-Colman|2022|J.Mater.Chem.C|10|4646|doi:10.1039/D1TC05696D
DOI: 10.5517/ccdc.csd.cc28qn9z
title: CCDC 2107141: Experimental Crystal Structure Determination

description: Related Article: Shiv Kumar, Pauline Tourneur, Jonathan R. Adsetts, Michael Y. Wong, Pachaiyappan Rajamalli, Dongyang Chen, Roberto Lazzaroni, Pascal Viville, David B. Cordes, Alexandra M. Z. Slawin, Yoann Olivier, Jérôme Cornil, Zhifeng Ding, Eli Zysman-Colman|2022|J.Mater.Chem.C|10|4646|doi:10.1039/D1TC05696D
DOI: 10.5517/ccdc.csd.cc28r09c
title: CCDC 2107482: Experimental Crystal Structure Determination

description: Related Article: Shengjie Song, Xiangjun Shi, Yunsheng Zhu, Quanlei Ren, Peng Zhou, Jiadi Zhou, Jianjun Li|2022|J.Org.Chem.|87|4764|doi:10.1021/acs.joc.2c00043
DOI: 10.5517/ccdc.csd.cc28r84g
title: CCDC 2107725: Experimental Crystal Structure Determination

description: Related Article: Shengjie Song, Xiangjun Shi, Yunsheng Zhu, Quanlei Ren, Peng Zhou, Jiadi Zhou, Jianjun Li|2022|J.Org.Chem.|87|4764|doi:10.1021/acs.joc.2c00043
DOI: 10.5517/ccdc.csd.cc28thj4
title: CCDC 2109876: Experimental Crystal Structure Determination

description: Related Article: Babasaheb Sopan Gore, Chiao-Ying Kuo, Jeh-Jeng Wang|2022|Chem.Commun.|58|4087|doi:10.1039/D2CC00717G
DOI: 10.5517/ccdc.csd.cc294cjc
title: CCDC 2119362: Experimental Crystal Structure Determination

description: Related Article: Robert Eckl, Sebastian Fischer, Carina M. Sonnleitner, Daniel Schmidhuber, Julia Rehbein, Oliver Reiser|2021|ACS Org. Inorg. Au|2|169|doi:10.1021/acsorginorgau.1c00042
DOI: 10.5517/ccdc.csd.cc294clf
title: CCDC 2119364: Experimental Crystal Structure Determination

description: Related Article: Robert Eckl, Sebastian Fischer, Carina M. Sonnleitner, Daniel Schmidhuber, Julia Rehbein, Oliver Reiser|2021|ACS Org. Inorg. Au|2|169|doi:10.1021/acsorginorgau.1c00042
DOI: 10.5517/ccdc.csd.cc294cmg
title: CCDC 2119365: Experimental Crystal Structure Determination

description: Related Article: Robert Eckl, Sebastian Fischer, Carina M. Sonnleitner, Daniel Schmidhuber, Julia Rehbein, Oliver Reiser|2021|ACS Org. Inorg. Au|2|169|doi:10.1021/acsorginorgau.1c00042
DOI: 10.5517/ccdc.csd.cc294cnh
title: CCDC 2119366: Experimental Crystal Structure Determination

description: Related Article: Robert Eckl, Sebastian Fischer, Carina M. Sonnleitner, Daniel Schmidhuber, Julia Rehbein, Oliver Reiser|2021|ACS Org. Inorg. Au|2|169|doi:10.1021/acsorginorgau.1c00042
DOI: 10.5517/ccdc.csd.cc294ckd
title: CCDC 2119363: Experimental Crystal Structure Determination

description: Related Article: Robert Eckl, Sebastian Fischer, Carina M. Sonnleitner, Daniel Schmidhuber, Julia Rehbein, Oliver Reiser|2021|ACS Org. Inorg. Au|2|169|doi:10.1021/acsorginorgau.1c00042
DOI: 10.5517/ccdc.csd.cc2960vd
title: CCDC 2120953: Experimental Crystal Structure Determination

description: Related Article: Frédéric St-Jean, Rémy Angelaud, Stephan Bachmann, Diane E. Carrera, Travis Remarchuk, Katarzyna A. Piechowicz, Katrin Niedermann, Hans Iding, Roland Meier, Haiyun Hou, Lauren E. Sirois, Jie Xu, Martin Olbrich, Pankaj Rege, Maud Guillemot-Plass, Francis Gosselin|2022|J.Org.Chem.|87|4955|doi:10.1021/acs.joc.1c02994
DOI: 10.5517/ccdc.csd.cc296thv
title: CCDC 2121717: Experimental Crystal Structure Determination

description: Related Article: Rong Zeng, Zheng Wang, Ruikun Peng, Peng Yan, Jie Yang, Qian Zhou, Jing Gu, Peng-Fei Zheng, Ying-Chun Chen, Qin Ouyang|2022|Org.Chem.Front.|9|1884|doi:10.1039/D2QO00052K
DOI: 10.5517/ccdc.csd.cc2970g1
title: CCDC 2121902: Experimental Crystal Structure Determination

description: Related Article: Takumi Hosono, Nicolas Oliveira Decarli, Paola Zimmermann Crocomo, Tsuyoshi Goya, Leonardo Evaristo de Sousa, Norimitsu Tohnai, Satoshi Minakata, Piotr de Silva, Przemyslaw Data, Youhei Takeda|2022|J.Mater.Chem.C|10|4905|doi:10.1039/D1TC05730H
DOI: 10.5517/ccdc.csd.cc2970h2
title: CCDC 2121903: Experimental Crystal Structure Determination

description: Related Article: Takumi Hosono, Nicolas Oliveira Decarli, Paola Zimmermann Crocomo, Tsuyoshi Goya, Leonardo Evaristo de Sousa, Norimitsu Tohnai, Satoshi Minakata, Piotr de Silva, Przemyslaw Data, Youhei Takeda|2022|J.Mater.Chem.C|10|4905|doi:10.1039/D1TC05730H
DOI: 10.5517/ccdc.csd.cc299dst
title: CCDC 2124206: Experimental Crystal Structure Determination

description: Related Article: Sandra Ramírez-Rave, Marcos Flores-Alamo, Anatoly K. Yatsimirsky|2022|New J.Chem.|46|5996|doi:10.1039/D1NJ05699A
DOI: 10.5517/ccdc.csd.cc29gtf1
title: CCDC 2129403: Experimental Crystal Structure Determination

description: Related Article: Wenxing Zou, James C. Fettinger, Petra Vasko, Philip P. Power|2022|Organometallics|41|794|doi:10.1021/acs.organomet.2c00018
DOI: 10.5517/ccdc.csd.cc29gtg2
title: CCDC 2129404: Experimental Crystal Structure Determination

description: Related Article: Wenxing Zou, James C. Fettinger, Petra Vasko, Philip P. Power|2022|Organometallics|41|794|doi:10.1021/acs.organomet.2c00018
DOI: 10.5517/ccdc.csd.cc29gtk5
title: CCDC 2129407: Experimental Crystal Structure Determination

description: Related Article: Wenxing Zou, James C. Fettinger, Petra Vasko, Philip P. Power|2022|Organometallics|41|794|doi:10.1021/acs.organomet.2c00018
DOI: 10.5517/ccdc.csd.cc29gtl6
title: CCDC 2129408: Experimental Crystal Structure Determination

description: Related Article: Wenxing Zou, James C. Fettinger, Petra Vasko, Philip P. Power|2022|Organometallics|41|794|doi:10.1021/acs.organomet.2c00018
DOI: 10.5517/ccdc.csd.cc29jn4n
title: CCDC 2131161: Experimental Crystal Structure Determination

description: Related Article: Jin-Ping Gao, Zhikai Qi, Fu-Qiang Zhang, Xian-Ming Zhang|2022|Nanoscale|14|4469|doi:10.1039/D2NR00078D
DOI: 10.5517/ccdc.csd.cc299dtv
title: CCDC 2124207: Experimental Crystal Structure Determination

description: Related Article: Sandra Ramírez-Rave, Marcos Flores-Alamo, Anatoly K. Yatsimirsky|2022|New J.Chem.|46|5996|doi:10.1039/D1NJ05699A
DOI: 10.5517/ccdc.csd.cc29x60g
title: CCDC 2142255: Experimental Crystal Structure Determination

description: Related Article: Yan Chen, Ruihu Zhou, Xinyue Liu, Cao Yang, Tingting Wang, Fenghui Shi, Lei Zhang|2022|Chem.Commun.|58|4671|doi:10.1039/D2CC00957A
DOI: 10.6084/m9.figshare.19358786
title: CD47-SIRPα checkpoint disruption in metastases requires tumor-targeting antibody for molecular and engineered macrophage therapies

description: Data for the Cancers (2022) publication: CD47-SIRPα checkpoint disruption in metastases requires tumor-targeting antibody for molecular and engineered macrophage therapies
DOI: 10.6084/m9.figshare.19358786.v1
title: CD47-SIRPα checkpoint disruption in metastases requires tumor-targeting antibody for molecular and engineered macrophage therapies

description: Data for the Cancers (2022) publication: CD47-SIRPα checkpoint disruption in metastases requires tumor-targeting antibody for molecular and engineered macrophage therapies
DOI: 10.6084/m9.figshare.19545271
title: Comparison analysis of metabolite profiling in seeds and bark of Ulmus parvifolia, A chinese medicine species

description: <em>Ulmus parvifolia</em> (<em>U. parvifolia</em>) was traditionally used in the treatment of some diseases such as inflammation, diarrhea and fevers. With the wide application of molecular biotechnology in plant development and utilization, the pharmaceutical value and chemical composition of the bark and leaves of <em>U. parvifolia</em> had been studied. However, metabolic signatures of seeds have not been studied. Seeds and bark of <em>U. parvifolia</em> were collected at the seeds ripening stage and metabolite profiling was performed through the untargeted metabolomics approach. A total of 2,578 and 2,207 metabolites were identified in seeds and bark, respectively. In particular, 574 differential metabolites were identified from the two parts of <em>U. parvifolia</em>, including flavonoids, terpene glycosides, triterpenoids and sesquiterpenoids. There are some bioactive compounds with antioxidant, anti-inflammatory and anti-cancer activities in these metabolites. More metabolites belonged to flavonoids and sesquiterpenoids were up-regulated in seeds than that in bark. There were more varieties of terpene glycosides and triterpenoids in bark than seeds. The pathway enrichment was performed, while flavonoid biosynthesis and flavone and flavonol biosynthesis were worthy of attention. Metabolic signatures of <em>U. parvifolia</em> seeds and bark were analyzed by untargeted metabolomics approach. Metabolite profiling, characteristics of differential metabolites and pathway enrichment were performed to evaluate the pharmaceutical value of seeds and bark. This study provided a sicentific basis for the complementary use of the two different parts of <em>U. parvifolia</em> as a Chinese medicinal material.
DOI: 10.6084/m9.figshare.19545271.v1
title: Comparison analysis of metabolite profiling in seeds and bark of Ulmus parvifolia, A chinese medicine species

description: <em>Ulmus parvifolia</em> (<em>U. parvifolia</em>) was traditionally used in the treatment of some diseases such as inflammation, diarrhea and fevers. With the wide application of molecular biotechnology in plant development and utilization, the pharmaceutical value and chemical composition of the bark and leaves of <em>U. parvifolia</em> had been studied. However, metabolic signatures of seeds have not been studied. Seeds and bark of <em>U. parvifolia</em> were collected at the seeds ripening stage and metabolite profiling was performed through the untargeted metabolomics approach. A total of 2,578 and 2,207 metabolites were identified in seeds and bark, respectively. In particular, 574 differential metabolites were identified from the two parts of <em>U. parvifolia</em>, including flavonoids, terpene glycosides, triterpenoids and sesquiterpenoids. There are some bioactive compounds with antioxidant, anti-inflammatory and anti-cancer activities in these metabolites. More metabolites belonged to flavonoids and sesquiterpenoids were up-regulated in seeds than that in bark. There were more varieties of terpene glycosides and triterpenoids in bark than seeds. The pathway enrichment was performed, while flavonoid biosynthesis and flavone and flavonol biosynthesis were worthy of attention. Metabolic signatures of <em>U. parvifolia</em> seeds and bark were analyzed by untargeted metabolomics approach. Metabolite profiling, characteristics of differential metabolites and pathway enrichment were performed to evaluate the pharmaceutical value of seeds and bark. This study provided a sicentific basis for the complementary use of the two different parts of <em>U. parvifolia</em> as a Chinese medicinal material.