cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2d4k9f
title: CCDC 2208914: Experimental Crystal Structure Determination

description: Related Article: Lisi Yuan, Ya Fang, Zhaobo Zhou, Tinghong Lv, Yingpeng Su, Jian Liu, Xiaolei Wang|2023|Org.Lett.|25|4394|doi:10.1021/acs.orglett.3c01605
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.cc2d4kbg
title: CCDC 2208915: Experimental Crystal Structure Determination

description: Related Article: Lisi Yuan, Ya Fang, Zhaobo Zhou, Tinghong Lv, Yingpeng Su, Jian Liu, Xiaolei Wang|2023|Org.Lett.|25|4394|doi:10.1021/acs.orglett.3c01605
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.cc2d4t6l
title: CCDC 2209159: Experimental Crystal Structure Determination

description: Related Article: Gavin Hum, Si Jia Isabel Phang, How Chee Ong, Felix León, Shina Quek, Yi Xin Joycelyn Khoo, Chenfei Li, Yongxin Li, Jack K. Clegg, Jesús Díaz, Mihaiela C. Stuparu, Felipe García|2023|J.Am.Chem.Soc.|145|12475|doi:10.1021/jacs.2c12713
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.cc2d4t7m
title: CCDC 2209160: Experimental Crystal Structure Determination

description: Related Article: Gavin Hum, Si Jia Isabel Phang, How Chee Ong, Felix León, Shina Quek, Yi Xin Joycelyn Khoo, Chenfei Li, Yongxin Li, Jack K. Clegg, Jesús Díaz, Mihaiela C. Stuparu, Felipe García|2023|J.Am.Chem.Soc.|145|12475|doi:10.1021/jacs.2c12713
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.cc2d4t8n
title: CCDC 2209161: Experimental Crystal Structure Determination

description: Related Article: Gavin Hum, Si Jia Isabel Phang, How Chee Ong, Felix León, Shina Quek, Yi Xin Joycelyn Khoo, Chenfei Li, Yongxin Li, Jack K. Clegg, Jesús Díaz, Mihaiela C. Stuparu, Felipe García|2023|J.Am.Chem.Soc.|145|12475|doi:10.1021/jacs.2c12713
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.cc2d4t9p
title: CCDC 2209162: Experimental Crystal Structure Determination

description: Related Article: Gavin Hum, Si Jia Isabel Phang, How Chee Ong, Felix León, Shina Quek, Yi Xin Joycelyn Khoo, Chenfei Li, Yongxin Li, Jack K. Clegg, Jesús Díaz, Mihaiela C. Stuparu, Felipe García|2023|J.Am.Chem.Soc.|145|12475|doi:10.1021/jacs.2c12713
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.cc2d4tbq
title: CCDC 2209163: Experimental Crystal Structure Determination

description: Related Article: Gavin Hum, Si Jia Isabel Phang, How Chee Ong, Felix León, Shina Quek, Yi Xin Joycelyn Khoo, Chenfei Li, Yongxin Li, Jack K. Clegg, Jesús Díaz, Mihaiela C. Stuparu, Felipe García|2023|J.Am.Chem.Soc.|145|12475|doi:10.1021/jacs.2c12713
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.cc2d4tcr
title: CCDC 2209164: Experimental Crystal Structure Determination

description: Related Article: Gavin Hum, Si Jia Isabel Phang, How Chee Ong, Felix León, Shina Quek, Yi Xin Joycelyn Khoo, Chenfei Li, Yongxin Li, Jack K. Clegg, Jesús Díaz, Mihaiela C. Stuparu, Felipe García|2023|J.Am.Chem.Soc.|145|12475|doi:10.1021/jacs.2c12713
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.cc2d4tky
title: CCDC 2209170: Experimental Crystal Structure Determination

description: Related Article: Gavin Hum, Si Jia Isabel Phang, How Chee Ong, Felix León, Shina Quek, Yi Xin Joycelyn Khoo, Chenfei Li, Yongxin Li, Jack K. Clegg, Jesús Díaz, Mihaiela C. Stuparu, Felipe García|2023|J.Am.Chem.Soc.|145|12475|doi:10.1021/jacs.2c12713
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: 10.5519/qd.85vpgby1
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (387 records)
DOI: 10.5281/zenodo.8070759
title: gastropteron_pacificum_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8070758
title: gastropteron_pacificum_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8070776
title: tylodina_fungina_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8070775
title: tylodina_fungina_zanfona_1.fasta.gz

description: .
DOI: 10.14284/613
title: The impact of water brownness on ciprofloxacin ecotoxicity

description: Toxicity data of ciprofloxacin obtained in test media presented with various DOC compounds performed at Laboratory of Environmental Toxicology and Aquatic Ecology (GhEnToxLab).Cyanobacteria toxicity test of ciprofloxacin (CIP) to cyanobacteria Microcystis aeruginosa was performed in culture media with various dissolved organic carbon (DOC) concentration levels and light absorption properties.
description: Toxicity data of ciprofloxacin in test media presented with various DOC compounds. It contains water chemistry measurements (pH, DOC concentration, Calcium concentration), cell density measurement and experiment details.Cyanobacteria toxicity test of CIP to cyanobacteria Microcystis aeruginosa PCC7806 was performed in the presence of DOC. The DOC compounds were collected from different sources, including DOC in naturally occurring state in freshwater, DOC processed with ion-exchange that was collected from freshwater ecosystems, and commercial DOC purchased from International Humic Substances Society. The data recorded were used to estimate the impact of DOC on CIP ecotoxicity.Ghent University Research Fund (ECOPHARMA, BOF 24y2019002601)
DOI: 10.15472/kuldtk
title: Ephemeroptera recolectados en el Caribe Colombiano depositados en la CBUMAG

description: Este set de datos contiene información de los efemerópteros depositados en la Colección Entomológica de la Universidad del Magdalena. Los especímenes de los que proceden los registros están preservados en frascos con etanol y proceden del departamento del Magdalena.
description: Los datos asociados a este conjunto de metadatos se encuentran disponibles en el siguientes recurso: https://doi.org/10.15472/x9qaai
DOI: 10.4121/12705164
title: STORM tropical cyclone wind speed return periods

description: UPDATE 22/06/2023: Tom Russell (Oxford University) and colleagues have created global-scale .tiff files for this dataset, you can download them here: https://zenodo.org/record/7438145<br>UPDATE 30/05/2022: The data directory now also contains .tif files for the fixed wind speeds and fixed return period maps. These .tif files can be used in GIS applications in case the netcdf-files cannot be loaded in. A special thanks to Bastian Manz for writing the code to create the tif files! <br>Datasets containing tropical cyclone maximum wind speed (in m/s) return periods, generated using the STORM datasets (see https://www.nature.com/articles/s41597-020-0381-2). Return periods were empirically calculated using Weibull's plotting formula. The STORM_FIXED_RETURN_PERIOD dataset contains maximum wind speeds for a fixed set of return periods at 10 km resolution in every ocean basin. The STORM_FIXED_WIND_SPEED dataset contains return periods for a fixed set of maximum wind speeds at 10 km resolution in every ocean basin. The STORM_CITIES dataset contains return periods at fixed wind speeds and wind speeds at fixed return periods (on two seperate sheets), occurring within 100 km from a selection of 18 coastal cities. The STORM_ISLANDS contains return periods at fixed wind speeds and wind speeds at fixed return periods (on two seperate sheets), occurring within 100 km from the capital city of an island. We included the Small Island Developing States and a set of other islands.
DOI: 10.4121/12705164.v4
title: STORM tropical cyclone wind speed return periods

description: UPDATE 22/06/2023: Tom Russell (Oxford University) and colleagues have created global-scale .tiff files for this dataset, you can download them here: https://zenodo.org/record/7438145<br>UPDATE 30/05/2022: The data directory now also contains .tif files for the fixed wind speeds and fixed return period maps. These .tif files can be used in GIS applications in case the netcdf-files cannot be loaded in. A special thanks to Bastian Manz for writing the code to create the tif files! <br>Datasets containing tropical cyclone maximum wind speed (in m/s) return periods, generated using the STORM datasets (see https://www.nature.com/articles/s41597-020-0381-2). Return periods were empirically calculated using Weibull's plotting formula. The STORM_FIXED_RETURN_PERIOD dataset contains maximum wind speeds for a fixed set of return periods at 10 km resolution in every ocean basin. The STORM_FIXED_WIND_SPEED dataset contains return periods for a fixed set of maximum wind speeds at 10 km resolution in every ocean basin. The STORM_CITIES dataset contains return periods at fixed wind speeds and wind speeds at fixed return periods (on two seperate sheets), occurring within 100 km from a selection of 18 coastal cities. The STORM_ISLANDS contains return periods at fixed wind speeds and wind speeds at fixed return periods (on two seperate sheets), occurring within 100 km from the capital city of an island. We included the Small Island Developing States and a set of other islands.
DOI: 10.4121/14237678
title: STORM Climate Change synthetic tropical cyclone tracks

description: UPDATE 22/06/2023: Tom Russell (Oxford University) and colleagues have created global .tiff maps for the return period datasets. You can find them here: https://zenodo.org/record/7438145<br>Datasets consisting of 10,000 years of synthetic tropical cyclone tracks, generated using the Synthetic Tropical cyclOne geneRation Model (STORM) algorithm (see Bloemendaal et al (2020)). The dataset is generated by extracting the climate change signal from each of the four general circulation models listed below, and adding this signal to the historical data from IBTrACS. This new dataset is then used as input for STORM, and resembles future-climate (2015-2050; RCP8.5/SSP5) conditions. The data can be used to calculate tropical cyclone risk in all (coastal) regions prone to tropical cyclones.<br>Climate change information from the following models is used in this study (each model has its own 10.000 years of STORM data):1) CMCC-CM2-VHR42) CNRM-CM6-1-HR3) EC-Earth3P-HR4) HAdGEM3-GC31-HM<br>See Roberts et al (2020) for more information on these models.
DOI: 10.4121/14237678.v2
title: STORM Climate Change synthetic tropical cyclone tracks

description: UPDATE 22/06/2023: Tom Russell (Oxford University) and colleagues have created global .tiff maps for the return period datasets. You can find them here: https://zenodo.org/record/7438145<br>Datasets consisting of 10,000 years of synthetic tropical cyclone tracks, generated using the Synthetic Tropical cyclOne geneRation Model (STORM) algorithm (see Bloemendaal et al (2020)). The dataset is generated by extracting the climate change signal from each of the four general circulation models listed below, and adding this signal to the historical data from IBTrACS. This new dataset is then used as input for STORM, and resembles future-climate (2015-2050; RCP8.5/SSP5) conditions. The data can be used to calculate tropical cyclone risk in all (coastal) regions prone to tropical cyclones.<br>Climate change information from the following models is used in this study (each model has its own 10.000 years of STORM data):1) CMCC-CM2-VHR42) CNRM-CM6-1-HR3) EC-Earth3P-HR4) HAdGEM3-GC31-HM<br>See Roberts et al (2020) for more information on these models.
DOI: 10.18462/iif.nitec53.06.2023
title: Liquefied natural gas: an essential cryogenic industry at the heart of the energy transition. 53rd Informatory Note on Refrigeration Technologies.
DOI: 10.34740/kaggle/dsv/5996606
title: Weather Data of Mumbai,Maharashtra,India
DOI: 10.14278/rodare.2339
title: Data publication: Ultrafast Relaxation Dynamics of Spin-Density Wave Order in BaFe2As2 under High Pressures

description: Raw pump-probe data for two Ba-122 DAC fillings used in the paper, photos of the samples inside the DAC, Matlab script for constructing the p-T plot of the SDW order
DOI: 10.14278/rodare.2340
title: Data publication: Ultrafast Relaxation Dynamics of Spin-Density Wave Order in BaFe2As2 under High Pressures

description: Raw pump-probe data for two Ba-122 DAC fillings used in the paper, photos of the samples inside the DAC, Matlab script for constructing the p-T plot of the SDW order
DOI: 10.15151/esrf-es-1231824364
title: Stockholm BAG

description: The Stockholm BAG is a constellation of seven research groups, whose PIs are affiliated to Karolinska Institutet (Adnane Achour, Jesper Haeggström, Luca Jovine and Robert Schnell) or Stockholm University (David Drew, Martin Hogböm, Pål Stenmark). Together, these groups are responsible for the large majority of the macromolecular crystallography research taking place in the Swedish capital. The scientific interests of the BAG encompass a broad variety of topics that include structural immunology, bacterial adhesion and toxicity, membrane proteins involved in inflammation and transport, fertilization, and enzymatic catalysis relevant to antibiotic production, green chemistry and cancer.
DOI: 10.5281/zenodo.8070889
title: amazona_ventralis_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8070888
title: amazona_ventralis_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7729232
title: Supplementary data for Bosson et al. (submitted to Nature)

description: Dataset corresponds to characteristics of glaciers and emerging deglaciated areas until 2100, associated to Bosson et al. (submitted to Nature). See Materials and Methods for more informations. Dataset contains files (.dat) for differents environnemental variables (area, elevation, slope, MAAT, ...) for 19 regions (RGI Code at beginning of the filename) and all glaciers (called RGI20) and for five Shared Socio-economic Pathways (number of ssp at the end of the filename). aggregated.zip contains files for each of the 13 differents Global Circulation Models (GCM, specified in the middle of the filename), while average.zip contains files corredponding to values of the median GCM and to standard deviation of the 13 GCM (files start by STD).
DOI: 10.5281/zenodo.7941197
title: Supplementary data for Bosson et al. 2023 Nature

description: Dataset and script corresponds to characteristics of glaciers and emerging deglaciated areas until 2100, associated to Bosson et al. (accepted to Nature). See Materials and Methods for more informations. Dataset contains files (.dat) for differents environnemental variables (area, elevation, slope, MAAT, ...) for 19 regions (RGI Code at beginning of the filename) and all glaciers (called RGI20) and for five Shared Socio-economic Pathways (number of ssp at the end of the filename). aggregated.zip contains files for each of the 13 differents Global Circulation Models (GCM, specified in the middle of the filename), while average.zip contains files corredponding to values of the median GCM and to standard deviation of the 13 GCM (files start by STD). The file ecosystems-caused-by-glacial-retreat-script.zip contains : 01_aggregatedRGI20_script and 02_averagedRGI20_script and 03_R_overdeepenings_volume_RGI20 were used to calculate paramaters for all glaciers (called RGI20) 04_R_Deglaciated Area by year was used to calculate dynamic of deglaciated area for each glacier (from RGI01 to RGI19) and all glaciers (called RGI20) 05_realize_fig_png was used to realise every figures and summary tables (files are available in 06_Supplementary_files_final.zip)
DOI: 10.5281/zenodo.7963973
title: Supplementary data for Bosson et al. 2023 Nature

description: Dataset and script corresponds to characteristics of glaciers and emerging deglaciated areas until 2100, associated to Bosson et al. (accepted to Nature). See Materials and Methods for more informations. Dataset contains files (.dat) for differents environnemental variables (area, elevation, slope, MAAT, ...) for 19 regions (RGI Code at beginning of the filename) and all glaciers (called RGI20) and for five Shared Socio-economic Pathways (number of ssp at the end of the filename). aggregated.zip contains files for each of the 13 differents Global Circulation Models (GCM, specified in the middle of the filename), while average.zip contains files corredponding to values of the median GCM and to standard deviation of the 13 GCM (files start by STD). The file ecosystems-caused-by-glacial-retreat-script.zip contains : 01_aggregatedRGI20_script and 02_averagedRGI20_script and 03_R_overdeepenings_volume_RGI20 were used to calculate paramaters for all glaciers (called RGI20) 04_R_Deglaciated Area by year was used to calculate dynamic of deglaciated area for each glacier (from RGI01 to RGI19) and all glaciers (called RGI20) 05_realize_fig_png was used to realise every figures and summary tables (files are available in 06_Supplementary_files_final.zip)
DOI: 10.5281/zenodo.7729231
title: Supplementary data for Bosson et al. 2023 Nature

description: Dataset and script corresponds to characteristics of glaciers and emerging deglaciated areas until 2100, associated to Bosson et al. (accepted to Nature). See Materials and Methods for more informations. Dataset contains files (.dat) for differents environnemental variables (area, elevation, slope, MAAT, ...) for 19 regions (RGI Code at beginning of the filename) and all glaciers (called RGI20) and for five Shared Socio-economic Pathways (number of ssp at the end of the filename). aggregated.zip contains files for each of the 13 differents Global Circulation Models (GCM, specified in the middle of the filename), while average.zip contains files corredponding to values of the median GCM and to standard deviation of the 13 GCM (files start by STD). The file ecosystems-caused-by-glacial-retreat-script.zip contains : 01_aggregatedRGI20_script and 02_averagedRGI20_script and 03_R_overdeepenings_volume_RGI20 were used to calculate paramaters for all glaciers (called RGI20) 04_R_Deglaciated Area by year was used to calculate dynamic of deglaciated area for each glacier (from RGI01 to RGI19) and all glaciers (called RGI20) 05_realize_fig_png was used to realise every figures and summary tables (files are available in 06_Supplementary_files_final.zip)
DOI: 10.5281/zenodo.7972104
title: Supplementary data for Bosson et al. 2023 Nature

description: Dataset and script corresponds to characteristics of glaciers and emerging deglaciated areas until 2100, associated to Bosson et al. (accepted to Nature). See Materials and Methods for more informations. Dataset contains files (.dat) for differents environnemental variables (area, elevation, slope, MAAT, ...) for 19 regions (RGI Code at beginning of the filename) and all glaciers (called RGI20) and for five Shared Socio-economic Pathways (number of ssp at the end of the filename). aggregated.zip contains files for each of the 13 differents Global Circulation Models (GCM, specified in the middle of the filename), while average.zip contains files corredponding to values of the median GCM and to standard deviation of the 13 GCM (files start by STD). The file ecosystems-caused-by-glacial-retreat-script.zip contains : 01_aggregatedRGI20_script and 02_averagedRGI20_script and 03_R_overdeepenings_volume_RGI20 were used to calculate paramaters for all glaciers (called RGI20) 04_R_Deglaciated Area by year was used to calculate dynamic of deglaciated area for each glacier (from RGI01 to RGI19) and all glaciers (called RGI20) 05_realize_fig_png was used to realise every figures and summary tables (files are available in 06_Supplementary_files_final.zip)
DOI: 10.5281/zenodo.8008704
title: Supplementary data for Bosson et al. 2023 Nature

description: Dataset and script corresponds to characteristics of glaciers and emerging deglaciated areas until 2100, associated to Bosson et al. (accepted to Nature). See Materials and Methods for more informations. Dataset contains files (.dat) for differents environnemental variables (area, elevation, slope, MAAT, ...) for 19 regions (RGI Code at beginning of the filename) and all glaciers (called RGI20) and for five Shared Socio-economic Pathways (number of ssp at the end of the filename). aggregated.zip contains files for each of the 13 differents Global Circulation Models (GCM, specified in the middle of the filename), while average.zip contains files corredponding to values of the median GCM and to standard deviation of the 13 GCM (files start by STD). The file ecosystems-caused-by-glacial-retreat-script.zip contains : 01_aggregatedRGI20_script and 02_averagedRGI20_script and 03_R_overdeepenings_volume_RGI20 were used to calculate paramaters for all glaciers (called RGI20) 04_R_Deglaciated Area by year was used to calculate dynamic of deglaciated area for each glacier (from RGI01 to RGI19) and all glaciers (called RGI20) 05_realize_fig_png was used to realise every figures and summary tables (files are available in 06_Supplementary_files_final.zip)