cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14068709
title: Material Suplementario 2. Alineamiento

description: <b>Material Suplementario 2.</b> Alineamiento múltiple de 113 secuencias de SARS-CoV-2 correspondientes a casos peruanos entre marzo y abril 2020.
DOI: 10.6084/m9.figshare.14068709.v1
title: Material Suplementario 2. Alineamiento

description: <b>Material Suplementario 2.</b> Alineamiento múltiple de 113 secuencias de SARS-CoV-2 correspondientes a casos peruanos entre marzo y abril 2020.
DOI: 10.6084/m9.figshare.14068718
title: Material Suplementario 3. Archivo de salida de BEAST2

description: <b>Material Suplementario 3.</b> Archivo de salida del programa BEAST2 con información de los parámetros calculados utilizando aproximación bayesiana.
DOI: 10.6084/m9.figshare.14068718.v1
title: Material Suplementario 3. Archivo de salida de BEAST2

description: <b>Material Suplementario 3.</b> Archivo de salida del programa BEAST2 con información de los parámetros calculados utilizando aproximación bayesiana.
DOI: 10.6084/m9.figshare.13187714.v1
title: Online Supplementary datasets

description: <br> <b>Data file S1. </b>List of the P-sites identified and sequences of the ORFS. <b>Data file S2. </b>Beta cell transcriptome determined by nanopore sequencing. <b>Data file S3. D</b>ifferential transcript expression defined by long RNA sequencing. <b>Data file S4. </b>List of the Psites identified mapped to the beta cell transcriptome defined by long RNA sequencing. <b>Data file S5. </b> Correlation of transcription translation.<b> </b> <b>Data file S6. </b>List of the P-sites identified on non-coding RNAs <b>Data file S7. </b>Correlation between translation initiation at alternative position versus canonical start site. <b>Data file S8. </b>List of the P-sites along the INS mRNA. <b></b><i></i><sub></sub><sup></sup><b></b><br>
DOI: 10.6084/m9.figshare.14061104
title: GeoHealth_Li Yizhuo

description: Data and script for the paper "Influencing indicators and spatial variation of diabetes mellitus prevalence in Shandong, China: A framework for using data-driven and spatial methods"<br>
DOI: 10.6084/m9.figshare.14061104.v2
title: GeoHealth_Li Yizhuo

description: Data and script for the paper "Influencing indicators and spatial variation of diabetes mellitus prevalence in Shandong, China: A framework for using data-driven and spatial methods"<br>
DOI: 10.6084/m9.figshare.14061104.v1
title: GeoHealth_Li Yizhuo

description: Data and script for the paper "Influencing indicators and spatial variation of diabetes mellitus prevalence in Shandong, China: A framework for using data-driven and spatial methods"<br>
DOI: 10.6084/m9.figshare.14068727
title: Material Suplementario 4. Rt estimado para marzo y abril 2020

description: <b>Material Suplementario 4.</b> Valores de Rt estimados para cada día (aproximado) de marzo y abril 2020. Los menores valores se encuentran entre los días 19 y 25 de marzo, poco tiempo después del inicio de la cuarentena. HPD: Intervalo de mayor densidad de probabilidad. <br><br>
DOI: 10.6084/m9.figshare.14068727.v1
title: Material Suplementario 4. Rt estimado para marzo y abril 2020

description: <b>Material Suplementario 4.</b> Valores de Rt estimados para cada día (aproximado) de marzo y abril 2020. Los menores valores se encuentran entre los días 19 y 25 de marzo, poco tiempo después del inicio de la cuarentena. HPD: Intervalo de mayor densidad de probabilidad. <br><br>
DOI: 10.6084/m9.figshare.14068730.v1
title: Material Suplementario 5. Archivo de entrada para BEAST2

description: <b>Material Suplementario 5.</b> Archivo de entrada del programa BEAST2 con la información requerida para que el programa calcule los parámetros deseados utilizando una aproximación bayesiana (MCMC) <br>
DOI: 10.6084/m9.figshare.14068730
title: Material Suplementario 5. Archivo de entrada para BEAST2

description: <b>Material Suplementario 5.</b> Archivo de entrada del programa BEAST2 con la información requerida para que el programa calcule los parámetros deseados utilizando una aproximación bayesiana (MCMC) <br>
DOI: 10.15468/ebe3pf
title: Morphological and phylogenetic analyses reveal three new species of Diaporthe from Yunnan, China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Huang, Shengting, Xia, Jiwen, Zhang, Xiuguo, Sun, Wenxiu (2021): Morphological and phylogenetic analyses reveal three new species of Diaporthe from Yunnan, China. MycoKeys 78: 49-77, DOI: http://dx.doi.org/10.3897/mycokeys.78.60878, URL: http://dx.doi.org/10.3897/mycokeys.78.60878
DOI: 10.6084/m9.figshare.14060993
title: Sequence data.zip

description: Sequences obtained from supragingival samples collected in Timepoit 1, 2 and 3; from two dogs (C and V) and in duplicate (a and b).<br>
DOI: 10.6084/m9.figshare.14060993.v1
title: Sequence data.zip

description: Sequences obtained from supragingival samples collected in Timepoit 1, 2 and 3; from two dogs (C and V) and in duplicate (a and b).<br>
DOI: 10.5519/qd.2npwjfta
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (308 records)
DOI: 10.5281/zenodo.4553396
title: qdgc China

description: QDGC tables delivered in geopackage file<br> - - - - - - - - - - - - - - - - - - - - - -<br> QDGC represents a way of making (almost) equal area squares covering a specific area to represent specific qualities of the area covered. The squares themselves are based on the degree squares covering earth. Around the equator we have 360 longitudinal lines , and from the north to the south pole we have 180 latitudinal lines. Together this gives us 64800 segments or tiles covering earth. Within each geopackage file you will find a number of tables with these names:<br> -tbl_qdgc_01<br> -tbl_qdgc_02<br> -tbl_qdgc_03<br> -tbl_qdgc_04<br> -tbl_qdgc_05<br> -etc The attributes for each table are:<br> qdgc Unique Quarter Degree Grid Cell reference string<br> level_qdgc QDGC level<br> cellsize degrees decimal degree for the longitudal and latitudal length of the cell<br> lon_center Longitude center of the cell<br> lat_center Latitudal center of the cell<br> area_km2 Calculated area for the cell<br> geom Geometry Metadata<br> --------<br> Geodata GCS_WGS_1984<br> Datum: D_WGS_1984<br> Prime Meridian: 0 Areas are calculated with different versions of Albers Equal Area Conic using the PostGIS function st_area. For the African continent I have used Africa Albers Equal Area Conic which will look like this:<br> - st_area(st_transform(geom, 102022))/1000000) Conditions<br> ----------<br> Delivered to the user as-is. No guarantees. If you find errors, please tell me and I will try to fix it. Suggestions for improvements can be addressed to the github repository: https://github.com/ragnvald/qdgc Thankyou!<br> --------<br> The work has over the years been supported and received advice and moral support from many organisations and stakeholders. Here are some of them:<br> - TAWIRI (http://tawiri.or.tz/)<br> - Dept of Biology, NTNU, Norway<br> - Norwegian Environment Agency<br> - Eivin Røskaft, Steven Prager, Howard Frederick, Julian Blanc, Honori Maliti, Paul Ramsey References<br> ----------<br> * http://en.wikipedia.org/wiki/QDGC<br> * http://www.mindland.com/wp/projects/quarter-degree-grid-cells/about-qdgc/<br> * http://en.wikipedia.org/wiki/Lambert_azimuthal_equal-area_projection<br> * http://www.safe.com<br>
description: The uncompressed size is 15 GB.
DOI: 10.5281/zenodo.4553395
title: qdgc China

description: QDGC tables delivered in geopackage file<br> - - - - - - - - - - - - - - - - - - - - - -<br> QDGC represents a way of making (almost) equal area squares covering a specific area to represent specific qualities of the area covered. The squares themselves are based on the degree squares covering earth. Around the equator we have 360 longitudinal lines , and from the north to the south pole we have 180 latitudinal lines. Together this gives us 64800 segments or tiles covering earth. Within each geopackage file you will find a number of tables with these names:<br> -tbl_qdgc_01<br> -tbl_qdgc_02<br> -tbl_qdgc_03<br> -tbl_qdgc_04<br> -tbl_qdgc_05<br> -etc The attributes for each table are:<br> qdgc Unique Quarter Degree Grid Cell reference string<br> level_qdgc QDGC level<br> cellsize degrees decimal degree for the longitudal and latitudal length of the cell<br> lon_center Longitude center of the cell<br> lat_center Latitudal center of the cell<br> area_km2 Calculated area for the cell<br> geom Geometry Metadata<br> --------<br> Geodata GCS_WGS_1984<br> Datum: D_WGS_1984<br> Prime Meridian: 0 Areas are calculated with different versions of Albers Equal Area Conic using the PostGIS function st_area. For the African continent I have used Africa Albers Equal Area Conic which will look like this:<br> - st_area(st_transform(geom, 102022))/1000000) Conditions<br> ----------<br> Delivered to the user as-is. No guarantees. If you find errors, please tell me and I will try to fix it. Suggestions for improvements can be addressed to the github repository: https://github.com/ragnvald/qdgc Thankyou!<br> --------<br> The work has over the years been supported and received advice and moral support from many organisations and stakeholders. Here are some of them:<br> - TAWIRI (http://tawiri.or.tz/)<br> - Dept of Biology, NTNU, Norway<br> - Norwegian Environment Agency<br> - Eivin Røskaft, Steven Prager, Howard Frederick, Julian Blanc, Honori Maliti, Paul Ramsey References<br> ----------<br> * http://en.wikipedia.org/wiki/QDGC<br> * http://www.mindland.com/wp/projects/quarter-degree-grid-cells/about-qdgc/<br> * http://en.wikipedia.org/wiki/Lambert_azimuthal_equal-area_projection<br> * http://www.safe.com<br>
description: The uncompressed size is 15 GB.
DOI: 10.17632/dd8dhn2x23.1
title: Data for: Early Cretaceous mafic-intermediate dykes in the Dabie orogen as indicators for post-collisional lithosphere removal

description: Table S1 U-Pb O isotopes of xenocrystic zircons from mafic-intermediate dykes in Dabie orogen
DOI: 10.5281/zenodo.4552699
title: Summary of the Airborne LiDAR transects collected by EBA in the Brazilian Amazon

description: The shapefile provides the exact location and the attributes of the LiDAR transects including sampling criteria, if the field data is available, who is the field data owner, the average metrics, and other relevant information. The metrics were extracted from the original point cloud, without any outlier cleaning. The EBA project collects the LiDAR transects between 2016 and 2018. Each transect covered 375 ha (12.5 km × 300 m) by emitting full-waveform laser pulses from a Trimble Harrier 68i airborne sensor (Trimble; Sunnyvale, CA) aboard a Cessna aircraft (model 206). The average point density was set at four returns per square meters, the field of view was equal to 30°, the flying altitude was 600 m, and transect width on the ground was approximately 494 m. Global Navigation Satellite System (GNSS) data were collected on a dual-frequency receiver (L1/L2). The pulse footprint was set to be below 30 cm, based on a divergence angle between 0.1 and 0.3 milliradians. Horizontal and vertical accuracy were controlled to be under 1 m and under 0.5 m, respectively. Some transects were randomly spread over the mature forest layer retrieved from the PRODES database (INPE 2019) and the secondary forest layer retrieved from the TerraClass database (INPE 2018), and other were selected to overlad field data from partners institutions.
description: Funding was provided by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Brasil (CAPES; Finance Code 001); Conselho Nacional de Desenvolvimento Científico e Tecnológico (Processes 403297/2016-8 and 301661/2019-7); Amazon Fund (grant 14.2.0929.1)
description: {"references": ["doi:10.1002/fee.2085", "doi:10.1111/gcb.15423"]}
DOI: 10.5519/qd.rio9nybs
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (20 records)
DOI: 10.5517/ccdc.csd.cc2430mx
title: CCDC 1969108: Experimental Crystal Structure Determination

description: Related Article: Jianning Liao, Jipan Dong, Jiaqing Xu, Wei Wang, Yongjun Wu, Yuxia Hou, Hongchao Guo|2021|J.Org.Chem.|86|2090|doi:10.1021/acs.joc.0c01948
DOI: 10.5517/ccdc.csd.cc2430ny
title: CCDC 1969109: Experimental Crystal Structure Determination

description: Related Article: Jianning Liao, Jipan Dong, Jiaqing Xu, Wei Wang, Yongjun Wu, Yuxia Hou, Hongchao Guo|2021|J.Org.Chem.|86|2090|doi:10.1021/acs.joc.0c01948
DOI: 10.5517/ccdc.csd.cc25q828
title: CCDC 2017389: Experimental Crystal Structure Determination

description: Related Article: Li-Hui Cao, Xiao-Qian Xu, Xiao-Han Tang, Yan Yang, Junyi Liu, Zheng Yin, Shuang-Quan Zang, Yang-Min Ma|2021|Inorg.Chem.|60|2117|doi:10.1021/acs.inorgchem.0c02999
DOI: 10.7277/23d1-5989
title: Seismic Reflection Transect Across the New Madrid Seismic Zone: Imaging Sediment Structure (NEES-2006-0167)

description: &lt;p&gt;&lt;strong&gt;Title&lt;/strong&gt;: Seismic Reflection Transect Across the New Madrid Seismic Zone: Imaging Sediment Structure (NEES-2006-0167)&lt;/p&gt; &lt;p&gt;&lt;b&gt;Year Of Curation: &lt;/b&gt;--&lt;/p&gt; &lt;p&gt;&lt;b&gt;Description: &lt;/b&gt;The overall goal of this project is to provide high-resolution images of the sediment structure in the Mississippi embayment, which will in turn provide key constraints on earthquake hazard assessments in this large, at risk area. Funding is provided jointly by both the USGS and the NSF.This is motivated by the need to better understand the spatial and long-term temporal patterns of deformation in the New Madrid seismic zone, so that earthquake recurrence models that underlie hazard assessments may be put on sounder scientific footing. We suggest that this can be done while also addressing the need to better constrain how seismic waves propagate in the tremendously thick sediments of the Mississippi embayment, another key aspect of earthquake hazard assessments in the region.The project consists of two complementary experiments: 1. Using the Thumper, obtain an approximately 15-km long, high-resolution compressional-wave reflection image of the subsurface geology, including faults and folds, in the 30- to 1000-meter depth range. 2. Obtain shear-wave images of the upper ~300 m at several sites within the embayment, using a variety of surface-wave analyses.&lt;/p&gt; &lt;p&gt;&lt;b&gt;Award: &lt;/b&gt;--&lt;/p&gt; &lt;p&gt;&lt;b&gt;PIs &amp; CoPIs: &lt;/b&gt;Joan Gomberg, Robert Williams&lt;/p&gt; &lt;p&gt;&lt;b&gt;Dates: &lt;/b&gt;May 1, 2006&lt;/p&gt; &lt;p&gt;&lt;b&gt;Organizations: &lt;/b&gt;U.S. Geological Survey&lt;/p&gt; &lt;p&gt;&lt;b&gt;Facilities: &lt;/b&gt;University of Texas at Austin, Austin, TX, United States&lt;/p&gt; &lt;p&gt;&lt;b&gt;Sponsor: &lt;/b&gt;NSF - 0530709 (&lt;/p&gt; &lt;p&gt;&lt;b&gt;Keywords: &lt;/b&gt;seismic reflection, New Madrid, sediment structure&lt;/p&gt; &lt;p&gt;&lt;b&gt;Publications: &lt;/b&gt;R. Williams, W. Stephenson, T. Pratt, J.K. Odum, &quot;Post - Eocene Deformation Observed in Seismic - Reflection Profiles Across the Southwestern Blytheville Ar ch and Crowleys Ridge, Arkansas&quot;&lt;/p&gt; &lt;nb:citations&gt;&lt;/nb:citations&gt;
DOI: 10.5519/qd.c6gk5v8e
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (20 records)
DOI: 10.5281/zenodo.4553423
title: Supplementary dataset – Comorbities due to SARS-COV-2

description: The two figures represent the datasets of due to SARS-COV-2 through spreadsheet ( Excel 2007 ) .
DOI: 10.5281/zenodo.4553422
title: Supplementary dataset – Comorbities due to SARS-COV-2

description: The two figures represent the datasets of due to SARS-COV-2 through spreadsheet ( Excel 2007 ) .
DOI: 10.6084/m9.figshare.14016854.v1
title: Spatial downscaling of PISCOt v1.1: minimum temperature

description: The downscaled version of PISCOt v1.1 for minimum temperature has been created using GWR (plus bilinear interpolation) using land surface temperature and elevation at 0.01° (~1 km) in a climatologically aided process (similar to the climatologically aided interpolation).
DOI: 10.34740/kaggle/dsv/1962214
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.4553476
title: SupplementaryFiles.zip

description: SupplementaryFiles.zip
DOI: 10.5281/zenodo.4553475
title: SupplementaryFiles.zip

description: SupplementaryFiles.zip
DOI: 10.5519/qd.xaszw096
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (38 records)
DOI: 10.6084/m9.figshare.14068523
title: gebeAAcasecontrolled dataset

description: dataset for our manuscript titled "Diagnostic predictive value of mean platelet volume in prgnant women with acute appendicitis".<br>
DOI: 10.6084/m9.figshare.14068523.v2
title: gebeAAcasecontrolled dataset

description: dataset for our manuscript titled "Diagnostic predictive value of mean platelet volume in prgnant women with acute appendicitis".<br>
DOI: 10.6084/m9.figshare.14068523.v1
title: gebeAAcasecontrolled dataset

description: dataset for our manuscript titled "Diagnostic predictive value of mean platelet volume in prgnant women with acute appendicitis".<br>
DOI: 10.18119/n9jg77
title: Integrated association score (IAS) network, NeST project
DOI: 10.5281/zenodo.4553486
title: qdgc Indonesia

description: DGC tables delivered in geopackage file<br> - - - - - - - - - - - - - - - - - - - - - -<br> QDGC represents a way of making (almost) equal area squares covering a specific area to represent specific qualities of the area covered. The squares themselves are based on the degree squares covering earth. Around the equator we have 360 longitudinal lines , and from the north to the south pole we have 180 latitudinal lines. Together this gives us 64800 segments or tiles covering earth.<br> <br> <br> Within each geopackage file you will find a number of tables with these names:<br> -tbl_qdgc_01<br> -tbl_qdgc_02<br> -tbl_qdgc_03<br> -tbl_qdgc_04<br> -tbl_qdgc_05<br> -etc<br> <br> <br> The attributes for each table are:<br> qdgc Unique Quarter Degree Grid Cell reference string<br> level_qdgc QDGC level<br> cellsize degrees decimal degree for the longitudal and latitudal length of the cell<br> lon_center Longitude center of the cell<br> lat_center Latitudal center of the cell<br> area_km2 Calculated area for the cell<br> geom Geometry<br> <br> <br> Metadata<br> --------<br> Geodata GCS_WGS_1984<br> Datum: D_WGS_1984<br> Prime Meridian: 0<br> <br> <br> Areas are calculated with different versions of Albers Equal Area Conic using the PostGIS function st_area. For the African continent I have used Africa Albers Equal Area Conic which will look like this:<br> - st_area(st_transform(geom, 102022))/1000000)<br> <br> <br> Conditions<br> ----------<br> Delivered to the user as-is. No guarantees. If you find errors, please tell me and I will try to fix it. Suggestions for improvements can be addressed to the github repository: https://github.com/ragnvald/qdgc<br> <br> <br> Thankyou!<br> --------<br> The work has over the years been supported and received advice and moral support from many organisations and stakeholders. Here are some of them:<br> - TAWIRI (http://tawiri.or.tz/)<br> - Dept of Biology, NTNU, Norway<br> - Norwegian Environment Agency<br> - Eivin Røskaft, Steven Prager, Howard Frederick, Julian Blanc, Honori Maliti, Paul Ramsey<br> <br> <br> References<br> ----------<br> * http://en.wikipedia.org/wiki/QDGC<br> * http://www.mindland.com/wp/projects/quarter-degree-grid-cells/about-qdgc/<br> * http://en.wikipedia.org/wiki/Lambert_azimuthal_equal-area_projection<br> * http://www.safe.com
description: Uncompressed size is 5GB
DOI: 10.5281/zenodo.4553485
title: qdgc Indonesia

description: DGC tables delivered in geopackage file<br> - - - - - - - - - - - - - - - - - - - - - -<br> QDGC represents a way of making (almost) equal area squares covering a specific area to represent specific qualities of the area covered. The squares themselves are based on the degree squares covering earth. Around the equator we have 360 longitudinal lines , and from the north to the south pole we have 180 latitudinal lines. Together this gives us 64800 segments or tiles covering earth.<br> <br> <br> Within each geopackage file you will find a number of tables with these names:<br> -tbl_qdgc_01<br> -tbl_qdgc_02<br> -tbl_qdgc_03<br> -tbl_qdgc_04<br> -tbl_qdgc_05<br> -etc<br> <br> <br> The attributes for each table are:<br> qdgc Unique Quarter Degree Grid Cell reference string<br> level_qdgc QDGC level<br> cellsize degrees decimal degree for the longitudal and latitudal length of the cell<br> lon_center Longitude center of the cell<br> lat_center Latitudal center of the cell<br> area_km2 Calculated area for the cell<br> geom Geometry<br> <br> <br> Metadata<br> --------<br> Geodata GCS_WGS_1984<br> Datum: D_WGS_1984<br> Prime Meridian: 0<br> <br> <br> Areas are calculated with different versions of Albers Equal Area Conic using the PostGIS function st_area. For the African continent I have used Africa Albers Equal Area Conic which will look like this:<br> - st_area(st_transform(geom, 102022))/1000000)<br> <br> <br> Conditions<br> ----------<br> Delivered to the user as-is. No guarantees. If you find errors, please tell me and I will try to fix it. Suggestions for improvements can be addressed to the github repository: https://github.com/ragnvald/qdgc<br> <br> <br> Thankyou!<br> --------<br> The work has over the years been supported and received advice and moral support from many organisations and stakeholders. Here are some of them:<br> - TAWIRI (http://tawiri.or.tz/)<br> - Dept of Biology, NTNU, Norway<br> - Norwegian Environment Agency<br> - Eivin Røskaft, Steven Prager, Howard Frederick, Julian Blanc, Honori Maliti, Paul Ramsey<br> <br> <br> References<br> ----------<br> * http://en.wikipedia.org/wiki/QDGC<br> * http://www.mindland.com/wp/projects/quarter-degree-grid-cells/about-qdgc/<br> * http://en.wikipedia.org/wiki/Lambert_azimuthal_equal-area_projection<br> * http://www.safe.com
description: Uncompressed size is 5GB
DOI: 10.5519/qd.xxru1jjp
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.4460656
title: Preliminary SEA for the Petroleum Sector in Zambia (DVD-contents)

description: Preliminary SEA for the Petroleum Sector in Zambia<br> - - - - - - - - - - - - - - - - - - - - - - - - - - <br> This DVD contains * The original word- and pdf-files for the Preliminary SEA in Zambia. * Map files (/maps) * Figures (figures) * Literature (literature) * Tools (tools) Folder : F i g u r e s<br> - - - - - - - - - - - - Original files for figures used in the produced documents. Folder : L i t e r a t u r e<br> - - - - - - - - - - - - - - - - Contains background material used in the process of this SEA. Some of it has been referenced in the document. Folder : T o o l s<br> - - - - - - - - - - Contains some open source GIS tools suitable for installation on a desktop computer for viewing the included GIS files. Folder : M a p s<br> - - - - - - - - - Folder contains folders with GIS tool project files, map exports (PFD/EMF files) and other technical background files. Users without access to map tools should focus on the map exports folder. <br> We refer to readme.txt files within the folders mentioned above for more details on their contents. For an understanding of the context of the resources on this DVD we refer to the report available in both word- and pdf-format on this DVD. <br> The provided data is provided as-is. It should not be forwarded outside the context of this preliminary SEA. When in doubt with regards to ownership issues relevant authorities should be contacted. Mr. Kennedy A. Liyungu Director, Geological Survey Department
description: Unzipped size is around 2.7 GB.