cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21376354
title: Additional file 4 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance

description: Additional file 4. Data file of in vivo experiments in the 4T1 system 6 days post RT. The data includes single cell protein expression levels as measured by FACS, lambda (λα(cell)) values and G (Giα) values and % of subpopulations out of the entire population.
DOI: 10.6084/m9.figshare.21376360
title: Additional file 5 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance

description: Additional file 5. Data file of in vivo experiments in the 4T1 system 12 days post RT. The data includes single cell protein expression levels as measured by FACS, lambda (λα(cell)) values and G (Giα) values and % of subpopulations out of the entire population.
DOI: 10.6084/m9.figshare.21376354.v1
title: Additional file 4 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance

description: Additional file 4. Data file of in vivo experiments in the 4T1 system 6 days post RT. The data includes single cell protein expression levels as measured by FACS, lambda (λα(cell)) values and G (Giα) values and % of subpopulations out of the entire population.
DOI: 10.6084/m9.figshare.21376360.v1
title: Additional file 5 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance

description: Additional file 5. Data file of in vivo experiments in the 4T1 system 12 days post RT. The data includes single cell protein expression levels as measured by FACS, lambda (λα(cell)) values and G (Giα) values and % of subpopulations out of the entire population.
DOI: 10.6084/m9.figshare.21376369
title: Additional file 6 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance

description: Additional file 6. Data file of in vitro experiments in BR45 cells 6 and 14 days post RT. The data includes single cell protein expression levels as measured by FACS, lambda (λα(cell)) values and G (Giα) values and % of subpopulations out of the entire population.
DOI: 10.6084/m9.figshare.21376369.v1
title: Additional file 6 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance

description: Additional file 6. Data file of in vitro experiments in BR45 cells 6 and 14 days post RT. The data includes single cell protein expression levels as measured by FACS, lambda (λα(cell)) values and G (Giα) values and % of subpopulations out of the entire population.
DOI: 10.6084/m9.figshare.21376372
title: Additional file 7 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance

description: Additional file 7. Data file of in vivo experiments in BR45 PDX mice 6 days post RT. The data includes single cell protein expression levels as measured by FACS, lambda (λα(cell)) values and G (Giα) values and % of subpopulations out of the entire population.
DOI: 10.6084/m9.figshare.21376372.v1
title: Additional file 7 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance

description: Additional file 7. Data file of in vivo experiments in BR45 PDX mice 6 days post RT. The data includes single cell protein expression levels as measured by FACS, lambda (λα(cell)) values and G (Giα) values and % of subpopulations out of the entire population.
DOI: 10.6084/m9.figshare.21376378
title: Additional file 8 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance

description: Additional file 8. Data file of in vivo experiments in BR45 PDX mice 12 days post RT. The data includes single cell protein expression levels as measured by FACS, lambda (λα(cell)) values and G (Giα) values and % of subpopulations out of the entire population.
DOI: 10.6084/m9.figshare.21376378.v1
title: Additional file 8 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance

description: Additional file 8. Data file of in vivo experiments in BR45 PDX mice 12 days post RT. The data includes single cell protein expression levels as measured by FACS, lambda (λα(cell)) values and G (Giα) values and % of subpopulations out of the entire population.
DOI: 10.6084/m9.figshare.21376419
title: Additional file 1 of Genome-associations of extended-spectrum ß-lactamase producing (ESBL) or AmpC producing E. coli in small and medium pig farms from Khon Kaen province, Thailand

description: Additional file 1: Table S1. Thai Study Metadata.
DOI: 10.6084/m9.figshare.21376419.v1
title: Additional file 1 of Genome-associations of extended-spectrum ß-lactamase producing (ESBL) or AmpC producing E. coli in small and medium pig farms from Khon Kaen province, Thailand

description: Additional file 1: Table S1. Thai Study Metadata.
DOI: 10.6084/m9.figshare.21376422
title: Additional file 2 of Genome-associations of extended-spectrum ß-lactamase producing (ESBL) or AmpC producing E. coli in small and medium pig farms from Khon Kaen province, Thailand

description: Additional file 2: Table S2. ESBL AMPC farm metadata.
DOI: 10.6084/m9.figshare.21376422.v1
title: Additional file 2 of Genome-associations of extended-spectrum ß-lactamase producing (ESBL) or AmpC producing E. coli in small and medium pig farms from Khon Kaen province, Thailand

description: Additional file 2: Table S2. ESBL AMPC farm metadata.
DOI: 10.6084/m9.figshare.21376423
title: Additional file 1 of Mortality from diseases of the circulatory system in Brazil and its relationship with social determinants focusing on vulnerability: an ecological study

description: Additional file 1.
DOI: 10.6084/m9.figshare.21376423.v1
title: Additional file 1 of Mortality from diseases of the circulatory system in Brazil and its relationship with social determinants focusing on vulnerability: an ecological study

description: Additional file 1.
DOI: 10.6084/m9.figshare.21376444
title: Additional file 1 of Circadian rhythms in the plant host influence rhythmicity of rhizosphere microbiota

description: Additional file 1. Lists of bacterial and fungal OTUs identified as rhythmic in dawn vs dusk comparisons under 12L12D.
DOI: 10.6084/m9.figshare.21376444.v1
title: Additional file 1 of Circadian rhythms in the plant host influence rhythmicity of rhizosphere microbiota

description: Additional file 1. Lists of bacterial and fungal OTUs identified as rhythmic in dawn vs dusk comparisons under 12L12D.
DOI: 10.6084/m9.figshare.21376450
title: Additional file 3 of Circadian rhythms in the plant host influence rhythmicity of rhizosphere microbiota

description: Additional file 3. Lists of bacterial and fungal OTUs identified as rhythmic through analysis of a 72-hour time-course under 12L12D.
DOI: 10.6084/m9.figshare.21376450.v1
title: Additional file 3 of Circadian rhythms in the plant host influence rhythmicity of rhizosphere microbiota

description: Additional file 3. Lists of bacterial and fungal OTUs identified as rhythmic through analysis of a 72-hour time-course under 12L12D.
DOI: 10.6084/m9.figshare.21376453
title: Additional file 4 of Circadian rhythms in the plant host influence rhythmicity of rhizosphere microbiota

description: Additional file 4. Lists of bacterial and fungal OTUs identified as rhythmic through analysis of a 48-hour time-course in constant light.
DOI: 10.6084/m9.figshare.21376453.v1
title: Additional file 4 of Circadian rhythms in the plant host influence rhythmicity of rhizosphere microbiota

description: Additional file 4. Lists of bacterial and fungal OTUs identified as rhythmic through analysis of a 48-hour time-course in constant light.
DOI: 10.5281/zenodo.6004061
title: ACCESS-AM2 Southern Ocean cloud and radiation data for k-means clustering and analysis

description: The ACCESS-AM2 (Australian Community Climate and Earth-System Simulator - Atmospheric Model Version 2) data and k-means analysis used for the study described in Fiddes et al. 2022 '<em>Southern Ocean cloud and shortwave radiation biases in a nudged climate model simulation: does the model ever get it right?' .</em> Included files: modis_cluster_centres_2015-2019.nc - kmeans derived cluster centres for MODIS modis_cluster_labels_2015-2019.nc - kmeans derived cluster labels for MODIS bx400_cluster_labels_2015-2019.nc - kmeans fitted cluster label for model COSP_vars_bx400_2015-2019.nc - model data for analysis The code that performs the analysis/generates this data and has instructions for where to download MODIS data can be found here: https://github.com/sfiddes/code_for_publications_2022/tree/main/ACCESS_cloud_radiation_eval
description: This project was funded by the Australian Government as part of the Antarctic Science Collaboration Initiative program, under the Australian Antarctic Program Partnership, ASCI000002.
DOI: 10.5281/zenodo.7233024
title: EDM-Dock-Dataset

description: Training dataset for EDM-Dock. See <em>Deep Learning Model for Flexible and Efficient Protein-Ligand Docking</em> by Masters et al. for a complete description of the dataset.
DOI: 10.5281/zenodo.7233023
title: EDM-Dock-Dataset

description: Training dataset for EDM-Dock. See <em>Deep Learning Model for Flexible and Efficient Protein-Ligand Docking</em> by Masters et al. for a complete description of the dataset.
DOI: 10.6084/m9.figshare.20799637.v1
title: A multi-city digitized building models dataset

description: A multi-city digitized building models dataset with patched morphological features for urban energy simulation
DOI: 10.5281/zenodo.6673055
title: Kinura: A database of kinship terminology from the Uralic Language family

description: The data repository for the Kinura dataset
DOI: 10.5281/zenodo.7233035
title: Kinura: A database of kinship terminology from the Uralic Language family

description: The data repository for the Kinura dataset
DOI: 10.5281/zenodo.6673054
title: Kinura: A database of kinship terminology from the Uralic Language family

description: The data repository for the Kinura dataset
DOI: 10.6084/m9.figshare.20024270
title: Colony Count and Turbidity Data from Time-Kill Assay of Acinetobacter baumannii exposed to Meropenem-based Antibiotic Combinations

description: This is data from experimental laboratory study which was conducted on <em>Acinetobacter baumannii. </em>There are four resistotypes of Acinetobacter baumannii tested. ATCC 19606 is Acinetobacter baumannii susceptible to meropenem, ampicillin-sulbactam, and amikacin. MDR 1 is a clinical isolate which is intermediate to ampicillin-sulbactam and resistant to meropenem and amikacin. MDR 2 is a clinical isolate intermediate to amikacin and resistant to meropenem and ampicillin-sulbactam. XDR is a clinical isolate which is resistant to all three antibiotics. <br> Meropenem and ampicillin-sulbactam as well as meropenem and amikacin in concentrations of 0,5 MIC+0,5 MIC, 1 MIC+1 MIC, 2 MIC+2 MIC, and 2 MIC+0,5 MIC were tested against isolates. Turbidity measurements were made at the predetermined time point of 0, 1, 2, 4, 6, 8, and 24 hours after exposure; bacterial concentration was enumerated using the agar plate method. <br> These data represent the turbidity and colony count data of the Acinetobacter baumannii test suspension after being subjected to the combination antibiotic. Turbidity data and colony count were the means of six replications. <br> Turbidity data are expressed in McFarland units. Colony count data is expressed in units of log CFU/ml. <br> Data were obtained from six replications formatted in Microsoft Excel and then processed with IBM SPSS Statistics 23.
DOI: 10.6084/m9.figshare.20024270.v2
title: Colony Count and Turbidity Data from Time-Kill Assay of Acinetobacter baumannii exposed to Meropenem-based Antibiotic Combinations

description: This is data from experimental laboratory study which was conducted on <em>Acinetobacter baumannii. </em>There are four resistotypes of Acinetobacter baumannii tested. ATCC 19606 is Acinetobacter baumannii susceptible to meropenem, ampicillin-sulbactam, and amikacin. MDR 1 is a clinical isolate which is intermediate to ampicillin-sulbactam and resistant to meropenem and amikacin. MDR 2 is a clinical isolate intermediate to amikacin and resistant to meropenem and ampicillin-sulbactam. XDR is a clinical isolate which is resistant to all three antibiotics. <br> Meropenem and ampicillin-sulbactam as well as meropenem and amikacin in concentrations of 0,5 MIC+0,5 MIC, 1 MIC+1 MIC, 2 MIC+2 MIC, and 2 MIC+0,5 MIC were tested against isolates. Turbidity measurements were made at the predetermined time point of 0, 1, 2, 4, 6, 8, and 24 hours after exposure; bacterial concentration was enumerated using the agar plate method. <br> These data represent the turbidity and colony count data of the Acinetobacter baumannii test suspension after being subjected to the combination antibiotic. Turbidity data and colony count were the means of six replications. <br> Turbidity data are expressed in McFarland units. Colony count data is expressed in units of log CFU/ml. <br> Data were obtained from six replications formatted in Microsoft Excel and then processed with IBM SPSS Statistics 23.
DOI: 10.6084/m9.figshare.21376140
title: Does Scale or Method Matter for Conservation? Application of Directional and Omnidirectional Connectivity Models in Spatial Prioritizations

description: We modeled the connectivity of northern bobwhite (Colinus virginianus), North American river otter (Lontra canadensis) and black bear (Ursus americanus) three species with varying ecological requirements, through the Congaree Biosphere Region, South Carolina, USA. We modeled habitat suitability for each species using boosted regression trees and converted these results into resistance layers for the connectivity analyses. We compared models for each species at multistate regional and local extents using directional and omnidirectional circuit theory approaches. We then used the results from each modelling combination as conservation goals for three different SCPs to determine how connectivity modelling decisions may influence geographic conservation decisions.
DOI: 10.3886/e138181v1-129900
title: Data and Code for: "Hungry for Success? SNAP Timing, High-Stakes Exam Performance, and College Attendance"

description: <pre>Monthly government transfer programs create cycles of consumption that track the timing of benefit receipt. If these cycles correspond to critical moments of student learning and achievement, the timing of transfers may have important long-run implications for low-income students. In this paper, we exploit state-level variation in the staggered timing of nutritional assistance benefit issuance to analyze effects on academic achievement. Using individual-level data from a large national college admissions exam, we find that taking this high-stakes exam in the last two weeks of the SNAP benefit cycle reduces test scores and lowers the probability of attending a 4-year college.</pre>
DOI: 10.5517/ccdc.csd.cc2c4kcg
title: CCDC 2179125: Experimental Crystal Structure Determination

description: Related Article: Corjan van de Griend, Johannes J. van de Vijver, Maxime A. Siegler, Remus T. Dame, Sylvestre Bonnet|2022|Inorg.Chem.|61|16045|doi:10.1021/acs.inorgchem.2c02447
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.cc2c4kdh
title: CCDC 2179126: Experimental Crystal Structure Determination

description: Related Article: Corjan van de Griend, Johannes J. van de Vijver, Maxime A. Siegler, Remus T. Dame, Sylvestre Bonnet|2022|Inorg.Chem.|61|16045|doi:10.1021/acs.inorgchem.2c02447
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.cc2c4kfj
title: CCDC 2179127: Experimental Crystal Structure Determination

description: Related Article: Corjan van de Griend, Johannes J. van de Vijver, Maxime A. Siegler, Remus T. Dame, Sylvestre Bonnet|2022|Inorg.Chem.|61|16045|doi:10.1021/acs.inorgchem.2c02447
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.cc2c4kgk
title: CCDC 2179128: Experimental Crystal Structure Determination

description: Related Article: Corjan van de Griend, Johannes J. van de Vijver, Maxime A. Siegler, Remus T. Dame, Sylvestre Bonnet|2022|Inorg.Chem.|61|16045|doi:10.1021/acs.inorgchem.2c02447
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.cc2c4pmv
title: CCDC 2179257: Experimental Crystal Structure Determination

description: Related Article: Adrien Madron du Vigné, Nicolai Cramer|2022|Organometallics|41|2731|doi:10.1021/acs.organomet.2c00351
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.cc2c4pnw
title: CCDC 2179258: Experimental Crystal Structure Determination

description: Related Article: Adrien Madron du Vigné, Nicolai Cramer|2022|Organometallics|41|2731|doi:10.1021/acs.organomet.2c00351
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.cc2c4ppx
title: CCDC 2179259: Experimental Crystal Structure Determination

description: Related Article: Adrien Madron du Vigné, Nicolai Cramer|2022|Organometallics|41|2731|doi:10.1021/acs.organomet.2c00351
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.cc2c4pqy
title: CCDC 2179260: Experimental Crystal Structure Determination

description: Related Article: Adrien Madron du Vigné, Nicolai Cramer|2022|Organometallics|41|2731|doi:10.1021/acs.organomet.2c00351
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.cc2c4prz
title: CCDC 2179261: Experimental Crystal Structure Determination

description: Related Article: Adrien Madron du Vigné, Nicolai Cramer|2022|Organometallics|41|2731|doi:10.1021/acs.organomet.2c00351
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.cc2c4ps0
title: CCDC 2179262: Experimental Crystal Structure Determination

description: Related Article: Adrien Madron du Vigné, Nicolai Cramer|2022|Organometallics|41|2731|doi:10.1021/acs.organomet.2c00351
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.cc2c6d44
title: CCDC 2180885: Experimental Crystal Structure Determination

description: Related Article: María Diz, María L. Durán-Carril, Jesús Castro, Samuel Alvo, Lucía Bada, Dolores Viña, José A. García-Vázquez|2022|J.Inorg.Biochem.|236|111975|doi:10.1016/j.jinorgbio.2022.111975
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.cc2c6dcc
title: CCDC 2180892: Experimental Crystal Structure Determination

description: Related Article: María Diz, María L. Durán-Carril, Jesús Castro, Samuel Alvo, Lucía Bada, Dolores Viña, José A. García-Vázquez|2022|J.Inorg.Biochem.|236|111975|doi:10.1016/j.jinorgbio.2022.111975
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.cc2c82qg
title: CCDC 2182515: Experimental Crystal Structure Determination

description: Related Article: Yasunori Toda, Ryota Shiokawa, Masaya Iwasaki, Daisuke Yamaguchi, Keisuke Kawamura, Kimiya Sukegawa, Hiroyuki Suga|2022|Chem.Commun.|58|11819|doi:10.1039/D2CC03782C
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.