cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2fkrlc
title: CCDC 2251393: Experimental Crystal Structure Determination

description: Related Article: Edgar Zander, Jonas Bresien, Vladimir V. Zhivonitko, Johannes Fessler, Alexander Villinger, Dirk Michalik, Axel Schulz|2023|J.Am.Chem.Soc.|145|14484|doi:10.1021/jacs.3c03928
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fnqjc
title: CCDC 2254243: Experimental Crystal Structure Determination

description: Related Article: Kakeru Masaoka, Haruka Taue, Masayuki Wakioka, Yasuhiro Ohki, Masamichi Ogasawara|2023|Organometallics|42|1629|doi:10.1021/acs.organomet.3c00185
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fnqkd
title: CCDC 2254244: Experimental Crystal Structure Determination

description: Related Article: Kakeru Masaoka, Haruka Taue, Masayuki Wakioka, Yasuhiro Ohki, Masamichi Ogasawara|2023|Organometallics|42|1629|doi:10.1021/acs.organomet.3c00185
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fnqlf
title: CCDC 2254245: Experimental Crystal Structure Determination

description: Related Article: Kakeru Masaoka, Haruka Taue, Masayuki Wakioka, Yasuhiro Ohki, Masamichi Ogasawara|2023|Organometallics|42|1629|doi:10.1021/acs.organomet.3c00185
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fpqyt
title: CCDC 2255217: Experimental Crystal Structure Determination

description: Related Article: Li Gu, Addison Fraker, Alex McSkimming|2023|Organometallics|42|1621|doi:10.1021/acs.organomet.3c00183
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fpqzv
title: CCDC 2255218: Experimental Crystal Structure Determination

description: Related Article: Li Gu, Addison Fraker, Alex McSkimming|2023|Organometallics|42|1621|doi:10.1021/acs.organomet.3c00183
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fpr0x
title: CCDC 2255219: Experimental Crystal Structure Determination

description: Related Article: Li Gu, Addison Fraker, Alex McSkimming|2023|Organometallics|42|1621|doi:10.1021/acs.organomet.3c00183
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fpr1y
title: CCDC 2255220: Experimental Crystal Structure Determination

description: Related Article: Li Gu, Addison Fraker, Alex McSkimming|2023|Organometallics|42|1621|doi:10.1021/acs.organomet.3c00183
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.34740/kaggle/dsv/6136870
title: Pypi sython pandaerror handling
DOI: 10.25345/c5pn8xr48
title: MassIVE MSV000092450 - Untargeted_Metabolomics_Summer_School
title: Esta es una prueba de la inspeccion de datos para el curso de metabolomica y analisis estadistico
DOI: 10.5281/zenodo.8148860
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Max Hollrung, http://www.wikidata.org/entity/Q1585669. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q1585669
DOI: 10.5281/zenodo.8148862
title: BASE DE DATOS DE ARTÍCULOS DE REGULACIÓN EMOCIONAL EN PADRES

description: Artículos revisados con las bases de datos EBSCO y ScyELO de artículos que estudiaron la regulación emocional en padres desde 2013 hasta 2023.
DOI: 10.5281/zenodo.8148861
title: BASE DE DATOS DE ARTÍCULOS DE REGULACIÓN EMOCIONAL EN PADRES

description: Artículos revisados con las bases de datos EBSCO y ScyELO de artículos que estudiaron la regulación emocional en padres desde 2013 hasta 2023.
DOI: 10.6084/m9.figshare.23689302
title: <strong>dataset</strong>

description: This is the street view image and eye movement data about urban perception research. Where the experimental dataset is the eye movement metrics data obtained after eye movement experiments and its corresponding image semantic segmentation results. The prediction dataset is the semantic segmentation results of all street view images.
DOI: 10.6084/m9.figshare.23689302.v1
title: <strong>dataset</strong>

description: This is the street view image and eye movement data about urban perception research. Where the experimental dataset is the eye movement metrics data obtained after eye movement experiments and its corresponding image semantic segmentation results. The prediction dataset is the semantic segmentation results of all street view images.
DOI: 10.6084/m9.figshare.22699759
title: A geospatial database of close to reality travel times to obstetric emergency care in 15 Nigerian conurbations

description: A database of travel times to facilities that can provide comprehensive EmOC in the 15 most populated extended urban areas (conurbations) in Nigeria. The travel times from cells of approximately 0.6x0.6km to facilities were derived based on Google Maps Platform’s internal Directions Application Programming Interface (API). The API incorporates estimates of traffic to provide closer-to-reality estimates of travel time. Computations were done to the first, second and third nearest public or private facilities. Travel time for eight traffic scenarios (including peak and non-peak periods) and the number of facilities within specific time thresholds were estimated. The database offers a plethora of opportunities for research and planning towards improving EmOC accessibility.
DOI: 10.5281/zenodo.8148881
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Stefan Kéler, http://www.wikidata.org/entity/Q2338038. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q2338038
DOI: 10.5281/zenodo.8148880
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Stefan Kéler, http://www.wikidata.org/entity/Q2338038. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q2338038
DOI: 10.5281/zenodo.8148885
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Hilda Lake Drabble, http://www.wikidata.org/entity/Q95709079. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q95709079
DOI: 10.5281/zenodo.8148884
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Hilda Lake Drabble, http://www.wikidata.org/entity/Q95709079. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q95709079
DOI: 10.5281/zenodo.8148887
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Christophe-Augustin Lamare-Picquot, http://www.wikidata.org/entity/Q115684607. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q115684607
DOI: 10.5281/zenodo.8148886
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Christophe-Augustin Lamare-Picquot, http://www.wikidata.org/entity/Q115684607. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q115684607
DOI: 10.5281/zenodo.8148889
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Bertha Brown Lambert, http://www.wikidata.org/entity/Q100769883. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q100769883
DOI: 10.5281/zenodo.8148892
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Kevin Lamprell, http://www.wikidata.org/entity/Q59525732. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q59525732
DOI: 10.5281/zenodo.8148891
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Kevin Lamprell, http://www.wikidata.org/entity/Q59525732. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q59525732
DOI: 10.5281/zenodo.8148894
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Eugène Langlassé, http://www.wikidata.org/entity/Q109757162. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q109757162
DOI: 10.6084/m9.figshare.23689362
title: Observation data

description: Observation data of ozone in Yangtze River Delta region from 2017-2020.
DOI: 10.6084/m9.figshare.23689362.v1
title: Observation data

description: Observation data of ozone in Yangtze River Delta region from 2017-2020.
DOI: 10.5281/zenodo.8148893
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Eugène Langlassé, http://www.wikidata.org/entity/Q109757162. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q109757162
DOI: 10.5281/zenodo.7576950
title: Spatially Resolved Single-cell Translatomics at Molecular Resolution

description: The precise control of mRNA translation is a crucial step in post-transcriptional gene regulation of cellular physiology. However, it remains a major challenge to systematically study mRNA translation at the transcriptomic scale with spatial and single-cell resolution. Here, we report the development of RIBOmap, a three-dimensional (3D) in situ profiling method to detect mRNA translation of thousands of genes simultaneously in intact cells and tissues. By applying RIBOmap to 981 genes in HeLa cells, we revealed a remarkable dependency of translation on cell-cycle stages and subcellular localization. Furthermore, we profiled single-cell translatomes of 5,413 genes in adult mouse brain tissues yielding a spatial cell atlas of 119,173 cells. The pairwise spatial mapping of single-cell translatome and transcriptome in two adjacent mouse brain slices revealed cell-type and brain-region-dependent translational regulation and suggested a translation remodeling during oligodendrocyte lineage maturation. The spatial translatome profiling detected widespread patterns of localized translation in neuronal and glial cells in intact brain tissue networks. Together, RIBOmap presents the first spatially resolved single-cell translatomics technology, accelerating our understanding of protein synthesis in the context of subcellular architecture, cell types, and tissue anatomy.
DOI: 10.5281/zenodo.8148898
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Charles Francis Laseron, http://www.wikidata.org/entity/Q5077778. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q5077778
DOI: 10.5281/zenodo.8148902
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Carl Adolf Georg Lauterbach, http://www.wikidata.org/entity/Q72821. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q72821
DOI: 10.5281/zenodo.8148901
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Carl Adolf Georg Lauterbach, http://www.wikidata.org/entity/Q72821. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q72821
DOI: 10.5281/zenodo.8148904
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Roxie Collie Laybourne, http://www.wikidata.org/entity/Q15920982. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q15920982
DOI: 10.5281/zenodo.8148903
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Roxie Collie Laybourne, http://www.wikidata.org/entity/Q15920982. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q15920982
DOI: 10.5281/zenodo.7901827
title: Gene expression dataset of the Spatially Resolved Single-cell Translatomics at Molecular Resolution

description: Here are the gene expression datasets of RIBOmap included in "<strong>Spatially Resolved Single-cell Translatomics at Molecular Resolution</strong>" from Zeng et al. Please refer to the README file for more detailed information. <strong>Abstract</strong> The precise control of mRNA translation is a crucial step in post-transcriptional gene regulation of cellular physiology. However, it remains a major challenge to systematically study mRNA translation at the transcriptomic scale with spatial and single-cell resolution. Here, we report the development of RIBOmap, a three-dimensional (3D) in situ profiling method to detect mRNA translation of thousands of genes simultaneously in intact cells and tissues. By applying RIBOmap to 981 genes in HeLa cells, we revealed a remarkable dependency of translation on cell-cycle stages and subcellular localization. Furthermore, we profiled single-cell translatomes of 5,413 genes in adult mouse brain tissues yielding a spatial cell atlas of 119,173 cells. The pairwise spatial mapping of single-cell translatome and transcriptome in two adjacent mouse brain slices revealed cell-type and brain-region-dependent translational regulation and suggested a translation remodeling during oligodendrocyte lineage maturation. The spatial translatome profiling detected widespread patterns of localized translation in neuronal and glial cells in intact brain tissue networks. Together, RIBOmap presents the first spatially resolved single-cell translatomics technology, accelerating our understanding of protein synthesis in the context of subcellular architecture, cell types, and tissue anatomy.
DOI: 10.5281/zenodo.7771025
title: Gene expression dataset of the Spatially Resolved Single-cell Translatomics at Molecular Resolution

description: Here are the gene expression datasets of RIBOmap included in "<strong>Spatially Resolved Single-cell Translatomics at Molecular Resolution</strong>" from Zeng et al.. Please refer to the README file for more detailed information. <strong>Abstract</strong> The precise control of mRNA translation is a crucial step in post-transcriptional gene regulation of cellular physiology. However, it remains a major challenge to systematically study mRNA translation at the transcriptomic scale with spatial and single-cell resolution. Here, we report the development of RIBOmap, a three-dimensional (3D) in situ profiling method to detect mRNA translation of thousands of genes simultaneously in intact cells and tissues. By applying RIBOmap to 981 genes in HeLa cells, we revealed a remarkable dependency of translation on cell-cycle stages and subcellular localization. Furthermore, we profiled single-cell translatomes of 5,413 genes in adult mouse brain tissues yielding a spatial cell atlas of 119,173 cells. The pairwise spatial mapping of single-cell translatome and transcriptome in two adjacent mouse brain slices revealed cell-type and brain-region-dependent translational regulation and suggested a translation remodeling during oligodendrocyte lineage maturation. The spatial translatome profiling detected widespread patterns of localized translation in neuronal and glial cells in intact brain tissue networks. Together, RIBOmap presents the first spatially resolved single-cell translatomics technology, accelerating our understanding of protein synthesis in the context of subcellular architecture, cell types, and tissue anatomy.
DOI: 10.5281/zenodo.7574975
title: Spatially Resolved Single-cell Translatomics at Molecular Resolution

description: The precise control of mRNA translation is a crucial step in post-transcriptional gene regulation of cellular physiology. However, it remains a major challenge to systematically study mRNA translation at the transcriptomic scale with spatial and single-cell resolution. Here, we report the development of RIBOmap, a three-dimensional (3D) in situ profiling method to detect mRNA translation of thousands of genes simultaneously in intact cells and tissues. By applying RIBOmap to 981 genes in HeLa cells, we revealed a remarkable dependency of translation on cell-cycle stages and subcellular localization. Furthermore, we profiled single-cell translatomes of 5,413 genes in adult mouse brain tissues yielding a spatial cell atlas of 119,173 cells. The pairwise spatial mapping of single-cell translatome and transcriptome in two adjacent mouse brain slices revealed cell-type and brain-region-dependent translational regulation and suggested a translation remodeling during oligodendrocyte lineage maturation. The spatial translatome profiling detected widespread patterns of localized translation in neuronal and glial cells in intact brain tissue networks. Together, RIBOmap presents the first spatially resolved single-cell translatomics technology, accelerating our understanding of protein synthesis in the context of subcellular architecture, cell types, and tissue anatomy.
DOI: 10.5281/zenodo.7574242
title: Spatially Resolved Single-cell Translatomics at Molecular Resolution

description: The precise control of mRNA translation is a crucial step in post-transcriptional gene regulation of cellular physiology. However, it remains a major challenge to systematically study mRNA translation at the transcriptomic scale with spatial and single-cell resolution. Here, we report the development of RIBOmap, a three-dimensional (3D) in situ profiling method to detect mRNA translation of thousands of genes simultaneously in intact cells and tissues. By applying RIBOmap to 981 genes in HeLa cells, we revealed a remarkable dependency of translation on cell-cycle stages and subcellular localization. Furthermore, we profiled single-cell translatomes of 5,413 genes in adult mouse brain tissues yielding a spatial cell atlas of 119,173 cells. The pairwise spatial mapping of single-cell translatome and transcriptome in two adjacent mouse brain slices revealed cell-type and brain-region-dependent translational regulation and suggested a translation remodeling during oligodendrocyte lineage maturation. The spatial translatome profiling detected widespread patterns of localized translation in neuronal and glial cells in intact brain tissue networks. Together, RIBOmap presents the first spatially resolved single-cell translatomics technology, accelerating our understanding of protein synthesis in the context of subcellular architecture, cell types, and tissue anatomy.
DOI: 10.5281/zenodo.8148912
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by William Clarence Leavenworth, http://www.wikidata.org/entity/Q111527110. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q111527110