cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/jg7xxd524s.4
title: A Geospatial Dataset of Urban Infrastructure for Emergency Response in Portugal

description: This dataset contains data about the number of response centres (hospitals, fire stations, police offices and railway stations) in every city in Portugal. It is compound of a GeoJSON file with geographic boundaries of the entire country, a GeoJSON file containing the geometry and response centres counting for each city, an OpenStreetMap (OSM) file for each city and a CSV table that summarizes all the data. Additionally, the scripts used to generate the dataset are also provided.
DOI: 10.17632/jg7xxd524s.3
title: emergency_portugal

description: This dataset contains data about the number of response centres (hospitals, fire stations, police offices and railway stations) in every city in Portugal. It is compound of a GeoJSON file with geographic boundaries of the entire country, a GeoJSON file containing the geometry and response centres counting for each city, an OpenStreetMap (OSM) file for each city and a CSV table that summarizes all the data. Additionally, the scripts used to generate the dataset are also provided.
DOI: 10.17632/jg7xxd524s.1
title: pois_portugal

description: This dataset contains data about the number of response centres (hospitals, fire stations, police offices and railway stations) in every city in Portugal. It is compound of a GeoJSON file with geographic boundaries of the entire country, a GeoJSON file containing the geometry and response centres counting for each city, an OpenStreetMap (OSM) file for each city and a CSV table that summarizes all the data.
DOI: 10.5517/ccdc.csd.cc22jbcb
title: CCDC 1922321: Experimental Crystal Structure Determination

description: Related Article: Renso Visbal, Raquel P. Herrera and M. Concepción Gimeno|2019|Chem.-Eur.J.|25|15837|doi:10.1002/chem.201903494
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: 10.5281/zenodo.8277042
title: Optical constants of CO and CO2 in the IR ans THz ranges and code to calculate the opacity of icy interstellar grains

description: Data set of optical constants of CO and CO2 in the IR and THz ranges (0.3–12.0 THz). These data are used to compute the opacity of coated materials in an astrophysical context in our accepted article for publication in A&A, 2022. The following link provides access to the "qabs" open access code and its source to calculate the opacity using the optical constants. The code computes Qabs, Qsca, and Qext from the refractive index or the dielectric constant using Mie's theory: https://bitbucket.org/tgrassi/compute_qabs/src/master/ The link redirects you to an open-access environment where to execute the code properly.
DOI: 10.5281/zenodo.8277043
title: Optical constants of CO and CO2 in the IR ans THz ranges and code to calculate the opacity of icy interstellar grains

description: Data set of optical constants of CO and CO2 in the IR and THz ranges (0.3–12.0 THz). These data are used to compute the opacity of coated materials in an astrophysical context in our accepted article for publication in A&A, 2022. The following link provides access to the "qabs" open access code and its source to calculate the opacity using the optical constants. The code computes Qabs, Qsca, and Qext from the refractive index or the dielectric constant using Mie's theory: https://bitbucket.org/tgrassi/compute_qabs/src/master/ The link redirects you to an open-access environment where to execute the code properly.
DOI: 10.5517/ccdc.csd.cc2f622t
title: CCDC 2240155: Experimental Crystal Structure Determination

description: Related Article: Hui-Yuan Zu, Chang-Chun Fan, Cheng-Dong Liu, Chang-Qing Jing, Chao-Yang Chai, Bei-Dou Liang, Xiang-Bin Han, Wen Zhang|2023|Chem.Mater.|35|5854|doi:10.1021/acs.chemmater.3c00596
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.cc2f623v
title: CCDC 2240156: Experimental Crystal Structure Determination

description: Related Article: Hui-Yuan Zu, Chang-Chun Fan, Cheng-Dong Liu, Chang-Qing Jing, Chao-Yang Chai, Bei-Dou Liang, Xiang-Bin Han, Wen Zhang|2023|Chem.Mater.|35|5854|doi:10.1021/acs.chemmater.3c00596
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.cc2f624w
title: CCDC 2240157: Experimental Crystal Structure Determination

description: Related Article: Hui-Yuan Zu, Chang-Chun Fan, Cheng-Dong Liu, Chang-Qing Jing, Chao-Yang Chai, Bei-Dou Liang, Xiang-Bin Han, Wen Zhang|2023|Chem.Mater.|35|5854|doi:10.1021/acs.chemmater.3c00596
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.cc2f625x
title: CCDC 2240158: Experimental Crystal Structure Determination

description: Related Article: Hui-Yuan Zu, Chang-Chun Fan, Cheng-Dong Liu, Chang-Qing Jing, Chao-Yang Chai, Bei-Dou Liang, Xiang-Bin Han, Wen Zhang|2023|Chem.Mater.|35|5854|doi:10.1021/acs.chemmater.3c00596
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.cc2f626y
title: CCDC 2240159: Experimental Crystal Structure Determination

description: Related Article: Hui-Yuan Zu, Chang-Chun Fan, Cheng-Dong Liu, Chang-Qing Jing, Chao-Yang Chai, Bei-Dou Liang, Xiang-Bin Han, Wen Zhang|2023|Chem.Mater.|35|5854|doi:10.1021/acs.chemmater.3c00596
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.cc2f627z
title: CCDC 2240160: Experimental Crystal Structure Determination

description: Related Article: Hui-Yuan Zu, Chang-Chun Fan, Cheng-Dong Liu, Chang-Qing Jing, Chao-Yang Chai, Bei-Dou Liang, Xiang-Bin Han, Wen Zhang|2023|Chem.Mater.|35|5854|doi:10.1021/acs.chemmater.3c00596
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: 10.17632/8p8vy5s35b.1
title: Raw imaging data and code related to "Antiviral responses are shaped by heterogeneity in viral replication dynamics " by Bruurs et al.

description: Imaging data and analysis codes related to experiments from "Antiviral responses are shaped by heterogeneity in viral replication dynamics " by Bruurs et al.
DOI: 10.5281/zenodo.8277108
title: The stimulating effect of warming on CO2 fluxes from an arable soil does not diminish over a ten-year period

description: not published yet
DOI: 10.5281/zenodo.8277107
title: The stimulating effect of warming on CO2 fluxes from an arable soil does not diminish over a ten-year period

description: not published yet
DOI: 10.5281/zenodo.8275825
title: LAPSO PM2.5 in Scotland (training data and the model)

description: Estimating Near-Surface Concentrations of Major Air Pollutants From Space: A Universal Estimation Framework LAPSO Like many other countries, China is still facing severe air pollution issues after extensive efforts. The difficulties in deriving near-surface concentrations from satellite measurements restrict the application of remote sensing of large-scale surface air quality. Aiming at providing daily accurate near-surface ail pollution estimates (PM2.5, PM10, O3, NO2, SO2, and CO), we propose a robust estimation framework called learning air pollutants from satellite observations (LAPSO). The principle of LAPSO is to derive a nonlinear relationship between surface pollutant concentrations of interest and satellite observations with the aid of meteorological reanalyzes based on deep learning techniques. The LAPSO framework is superior to other algorithms due to its robust retrieval performance, independence from chemical transport models (CTMs), lower hardware requirements, and a user-friendly interface. The retrieval results of LAPSO were in good agreement with ground-level measurements according to extensive cross-validation at 1628 sites ( R2&gt; 0.8 in polluted areas and uncertainty ≪5 μg/m3 for most pollutants) in China. The framework also showed a strong capability to capture the temporal variability of different air pollutants. By comparing with the estimation results from different satellite platforms, TROPOspheric monitoring instrument (TROPOMI) onboard the Sentinel-5P demonstrated marginally better performance for estimating PM2.5. Although the selection of satellite observations did not significantly affect the results of O3 estimation, the number and spatial sampling density of in situ sites imposed large impacts on O3 estimation performance. The success of LAPSO for estimating near-surface concentrations from satellite remote sensing at an enhanced spatiotemporal resolution is expected to serve the continuous and dynamical monitoring of regional and global air pollution.
description: Chinese Academy of Sciences (CAS) Pioneering Initiative Talents Program under Grant E1RC2WB2
DOI: 10.5281/zenodo.8275824
title: LAPSO PM2.5 in Scotland (training data and the model)

description: Estimating Near-Surface Concentrations of Major Air Pollutants From Space: A Universal Estimation Framework LAPSO Like many other countries, China is still facing severe air pollution issues after extensive efforts. The difficulties in deriving near-surface concentrations from satellite measurements restrict the application of remote sensing of large-scale surface air quality. Aiming at providing daily accurate near-surface ail pollution estimates (PM2.5, PM10, O3, NO2, SO2, and CO), we propose a robust estimation framework called learning air pollutants from satellite observations (LAPSO). The principle of LAPSO is to derive a nonlinear relationship between surface pollutant concentrations of interest and satellite observations with the aid of meteorological reanalyzes based on deep learning techniques. The LAPSO framework is superior to other algorithms due to its robust retrieval performance, independence from chemical transport models (CTMs), lower hardware requirements, and a user-friendly interface. The retrieval results of LAPSO were in good agreement with ground-level measurements according to extensive cross-validation at 1628 sites ( R2&gt; 0.8 in polluted areas and uncertainty ≪5 μg/m3 for most pollutants) in China. The framework also showed a strong capability to capture the temporal variability of different air pollutants. By comparing with the estimation results from different satellite platforms, TROPOspheric monitoring instrument (TROPOMI) onboard the Sentinel-5P demonstrated marginally better performance for estimating PM2.5. Although the selection of satellite observations did not significantly affect the results of O3 estimation, the number and spatial sampling density of in situ sites imposed large impacts on O3 estimation performance. The success of LAPSO for estimating near-surface concentrations from satellite remote sensing at an enhanced spatiotemporal resolution is expected to serve the continuous and dynamical monitoring of regional and global air pollution.
description: Chinese Academy of Sciences (CAS) Pioneering Initiative Talents Program under Grant E1RC2WB2
DOI: 10.34740/kaggle/dsv/6353172
title: MoviesDatasets
DOI: 10.34740/kaggle/dsv/6353198
title: Mahanagar Yatayat Transport Dataset
DOI: 10.6084/m9.figshare.24010353
title: Fast.genomics comparative genome browser: 2023 release

description: This is an archive of the 2023 release of http://fast.genomics.lbl.gov, a fast comparative genome browser for diverse bacteria and archaea.fast_code_Aug2023.tar.gz contains the source code, which is also available at github. See SETUP for installation instructions and lib/neighbor.sql for the database schema.Some of the code depends on Perl libraries from the PaperBLAST code base. These are archived in PaperBLAST_lib.tar.gz and should be exploded into ../PaperBLAST/ to create the ../PaperBLAST/lib directory. They are also available from github.fast_main_May2023.tar.gz contains the main database, with one representative genome for each of 6,377 genera. neighbor.db is the SQLite3 database and neighbor.faa.gz has the protein sequences. Put these files in the data/ directory. You can build the mmseqs database with:gunzip data/neighbor.faa.gz<br>mmseqs createdb data/neighbor.faa data/mmseqsdb --dbtype 1<br>mmseqs createindex data/mmseqsdb /tmp -k 6The sub-databases, with additional genomes for each taxonomic order, can be downloaded here or here. The tarball contains a directory for each sub-database; these subdirectories should go in the data/ directory. After installing the main database, you can build the clustered BLAST+ database for each sub-database's cluster with:for sub in `sqlite3 data/neighbor.db 'select prefix FROM SubDb;'`;<br>do gunzip data/$sub/cluster.faa.gz<br>makeblastdb -in data/$sub/cluster.faa -dbtype prot -out data/$sub/cluster.faa.plusdb<br>doneOr, to download the the sub-database for a specific order, visit the fast.genomics web site, search for that order, switch to the sub-database, and see downloads section at the bottom of the main page.
DOI: 10.35077/age-jam
title: dBMN_spGAL4_VNC: Whole-VNC confocal imaging of fly driver line dBMN_spGAL4 expressing mCD8::GFP, stained using GFP (green channel) and NC82 (red channel) antibodies

description: Confocal z-stacks (.tiff stacks) transgenic driver lines that express in mechanosensory neurons innervating specific bristle populations on the Drosophila melanogaster head. The neurons that are targeted by each driver line were labeled by expressing mCD8::GFP under control of the UAS or LexAop promotors, and then stained using anti-GFP (green channel) and NC82 antibodies (red channel). The processed images are published in Figure 3 – figure supplement 1 of the manuscript “Somatotopic organization among parallel sensory pathways that promote a grooming sequence in Drosophila (https://doi.org/10.1101/2023.02.11.528119)”. The confocal stacks used to produce these images are organized based on the driver line used in each figure panel.
description: A full protocol describing this work is available in the associated manuscript at manuscript “Somatotopic organization among parallel sensory pathways that promote a grooming sequence in Drosophila (https://doi.org/10.1101/2023.02.11.528119)”.
description: DATASET METADATA: title:'dBMN_spGAL4_VNC: Whole-VNC confocal imaging of fly driver line dBMN_spGAL4 expressing mCD8::GFP, stained using GFP (green channel) and NC82 (red channel) antibodies', GeneralModality:'other', Technique:'other', Other:'GAL4 and LexA expression' SPECIMEN METADATA: LocalID:'dBMN_spGAL4_VNC', Species:'Fruit fly', NCBITaxonomy:'NCBI:txid7227', Age:'5 to 8', Ageunit:'Days', Sex:'Male', Genotype:'w; VT019023_AD (attP40)/+; VT050279_DBD (attP2)/20XUAS-IVS- mCD8::GFP (attP2)', OrganName:'Ventral nerve cord (VNC)', SampleLocalID:'20201006_VT050279_DBD_VT019023_AD_20x_GFP_VNC_1', Locations:'Ventral nerve cord (VNC)' INSTRUMENT METADATA: MicroscopeType:'Confocal', MicroscopeManufacturerAndModel:'Zeiss LSM 800 Axio Imager.Z2', ObjectiveName:'Zeiss 20x objective (Plan-Apochromat 20x/0.8)', ObjectiveNA:'0.8', ObjectiveMagnification:'20x' IMAGE METADATA: xAxis:'left-to-right', yAxis:'left-to-right', zAxis:'left-to-right', Number:'1,2,red,green', displayColor:'(1.0, 0.0, 0.0),(0.0, 1.0, 0.0)', stepSizeX:'0.6239', stepSizeY:'0.6239'
DOI: 10.35077/age-jar
title: pBMN_spGAL4_VNC: Whole-VNC confocal imaging of fly driver line pBMN_spGAL4 expressing mCD8::GFP, stained using GFP (green channel) and NC82 (red channel) antibodies

description: Confocal z-stacks (.tiff stacks) transgenic driver lines that express in mechanosensory neurons innervating specific bristle populations on the Drosophila melanogaster head. The neurons that are targeted by each driver line were labeled by expressing mCD8::GFP under control of the UAS or LexAop promotors, and then stained using anti-GFP (green channel) and NC82 antibodies (red channel). The processed images are published in Figure 3 – figure supplement 1 of the manuscript “Somatotopic organization among parallel sensory pathways that promote a grooming sequence in Drosophila (https://doi.org/10.1101/2023.02.11.528119)”. The confocal stacks used to produce these images are organized based on the driver line used in each figure panel.
description: A full protocol describing this work is available in the associated manuscript at manuscript “Somatotopic organization among parallel sensory pathways that promote a grooming sequence in Drosophila (https://doi.org/10.1101/2023.02.11.528119)”.
description: DATASET METADATA: title:'pBMN_spGAL4_VNC: Whole-VNC confocal imaging of fly driver line pBMN_spGAL4 expressing mCD8::GFP, stained using GFP (green channel) and NC82 (red channel) antibodies', GeneralModality:'other', Technique:'other', Other:'GAL4 and LexA expression' SPECIMEN METADATA: LocalID:'pBMN_spGAL4_VNC', Species:'Fruit fly', NCBITaxonomy:'NCBI:txid7227', Age:'5 to 8', Ageunit:'Days', Sex:'Male', Genotype:'w; 28D07_AD (attP40); VT050279_DBD (attP2)/20XUAS-IVS- mCD8::GFP (attP2)', OrganName:'Ventral nerve cord (VNC)', SampleLocalID:'20201007_VT050279_DBD_28D07_AD_20x_GFP_VNC_2', Locations:'Ventral nerve cord (VNC)' INSTRUMENT METADATA: MicroscopeType:'Confocal', MicroscopeManufacturerAndModel:'Zeiss LSM 800 Axio Imager.Z2', ObjectiveName:'Zeiss 20x objective (Plan-Apochromat 20x/0.8)', ObjectiveNA:'0.8', ObjectiveMagnification:'20x' IMAGE METADATA: xAxis:'left-to-right', yAxis:'left-to-right', zAxis:'left-to-right', Number:'1,2,red,green', displayColor:'(1.0, 0.0, 0.0),(0.0, 1.0, 0.0)', stepSizeX:'0.6239', stepSizeY:'0.6239'
DOI: 10.13011/m3-hk3d-4w65
title: Rohan Somashekara
DOI: 10.35077/age-jaw
title: TasteBMN_spGAL4_VNC: Whole-VNC confocal imaging of fly driver line TasteBMN_spGAL4 expressing mCD8::GFP, stained using GFP (green channel) and NC82 (red channel) antibodies

description: Confocal z-stacks (.tiff stacks) transgenic driver lines that express in mechanosensory neurons innervating specific bristle populations on the Drosophila melanogaster head. The neurons that are targeted by each driver line were labeled by expressing mCD8::GFP under control of the UAS or LexAop promotors, and then stained using anti-GFP (green channel) and NC82 antibodies (red channel). The processed images are published in Figure 3 – figure supplement 1 of the manuscript “Somatotopic organization among parallel sensory pathways that promote a grooming sequence in Drosophila (https://doi.org/10.1101/2023.02.11.528119)”. The confocal stacks used to produce these images are organized based on the driver line used in each figure panel.
description: A full protocol describing this work is available in the associated manuscript at manuscript “Somatotopic organization among parallel sensory pathways that promote a grooming sequence in Drosophila (https://doi.org/10.1101/2023.02.11.528119)”.
description: DATASET METADATA: title:'TasteBMN_spGAL4_VNC: Whole-VNC confocal imaging of fly driver line TasteBMN_spGAL4 expressing mCD8::GFP, stained using GFP (green channel) and NC82 (red channel) antibodies', GeneralModality:'other', Technique:'other', Other:'GAL4 and LexA expression' SPECIMEN METADATA: LocalID:'TasteBMN_spGAL4_VNC', Species:'Fruit fly', NCBITaxonomy:'NCBI:txid7227', Age:'5 to 8', Ageunit:'Days', Sex:'Male', Genotype:'w; VT023783_AD (attP40)/+; R11D02_DBD (attP2)/20XUAS-IVS- mCD8::GFP (attP2)', OrganName:'Ventral nerve cord (VNC)', SampleLocalID:'20201005_11D02_DBD_VT023783_AD_20x_GFP_vnc_2', Locations:'Ventral nerve cord (VNC)' INSTRUMENT METADATA: MicroscopeType:'Confocal', MicroscopeManufacturerAndModel:'Zeiss LSM 800 Axio Imager.Z2', ObjectiveName:'Zeiss 20x objective (Plan-Apochromat 20x/0.8)', ObjectiveNA:'0.8', ObjectiveMagnification:'20x' IMAGE METADATA: xAxis:'left-to-right', yAxis:'left-to-right', zAxis:'left-to-right', Number:'1,2,red,green', displayColor:'(1.0, 0.0, 0.0),(0.0, 1.0, 0.0)', stepSizeX:'0.6239', stepSizeY:'0.6239'
DOI: 10.35077/age-jet
title: R52A06_GAL4_head_anterior: Posterior head confocal imaging of fly driver line R52A06_GAL4 expressing mCD8::GFP, stained using anti GFP antibodies (green channel). Autofluorescence from the head cuticle is in the red channel.

description: Confocal z-stacks (.tiff stacks) of the R52A06-GAL4 driver line that expresses in mechanosensory neurons innervating nearly all bristle populations on the Drosophila melanogaster head. The neurons that are targeted by the driver line were labeled by expressing mCD8::GFP under control of the UAS promotor, and then stained using anti-GFP antibodies (green channel). Autofluorescence from the head cuticle is in the red channel. The processed images are published in Figure 2 and Figure 2 – figure supplement 1 of the manuscript “Somatotopic organization among parallel sensory pathways that promote a grooming sequence in Drosophila (https://doi.org/10.1101/2023.02.11.528119)”. The confocal stacks used to produce these images are organized based on the driver line used and whether the image is of the anterior or posterior head.
description: A full protocol describing this work is available in the associated manuscript at manuscript “Somatotopic organization among parallel sensory pathways that promote a grooming sequence in Drosophila (https://doi.org/10.1101/2023.02.11.528119)”.
description: DATASET METADATA: title:'R52A06_GAL4_head_anterior: Posterior head confocal imaging of fly driver line R52A06_GAL4 expressing mCD8::GFP, stained using anti GFP antibodies (green channel). Autofluorescence from the head cuticle is in the red channel.', GeneralModality:'other', Technique:'other', Other:'GAL4 expression' SPECIMEN METADATA: LocalID:'R52A06_GAL4_head_anterior', Species:'Fruit fly', NCBITaxonomy:'NCBI:txid7227', Age:'5 to 8', Ageunit:'Days', Sex:'Male', Genotype:'w;; R52A06_GAL4 (attP2)/20XUAS-IVS- mCD8::GFP (attP2)', OrganName:'Brain', SampleLocalID:'20210604_52A06_GAL4_20x_GFP_20x_head_1_stitch', Locations:'Subesophageal zone (SEZ)' INSTRUMENT METADATA: MicroscopeType:'Confocal', MicroscopeManufacturerAndModel:'Zeiss LSM 800 Axio Imager.Z2', ObjectiveName:'Zeiss 20x objective (Plan-Apochromat 20x/0.8) ', ObjectiveNA:'0.8', ObjectiveMagnification:'20x' IMAGE METADATA: xAxis:'left-to-right', yAxis:'left-to-right', zAxis:'left-to-right', Number:'1,2,red,green', displayColor:'(1.0, 0.0, 0.0),(0.0, 1.0, 0.0)', stepSizeX:'0.6239', stepSizeY:'0.6239'