cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13087472
title: Ar CO2 Trace Gas concentration data

description: Compresses gas cylinders of Argon and carbon dioxide were taken to the field sites (various streams in the swiss alps). The stream was injected with both gases using ceramic diffusers. The change in concentration of the gas was measured downstream of the injection side, untill background conditions were again met. This dataset shows these cocentration datum as well and ancillary data (temperature, pH, distance, pressure) that were also taken along the reach
DOI: 10.17632/7xh7msw7s5.1
title: Project Apollo Program Obligations

description: This data set presents a detailed, annual accounting of NASA's cost obligations for Project Apollo and its major components between 1960 and 1973. According to this reconstruction, the United States spent $25.8 billion on the hardware, facilities, and overhead directly associated with Project Apollo, which agrees with the official estimate provided to Congress within 1.5%.
DOI: 10.5519/qd.u6yx3vav
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.17632/3stp9vgfgt.1
title: Mental Health of Young People Who Inject Drugs

description: PSYCHIATRIC DISORDERS AND HIV RISK BEHAVIORS AMONG YOUNG INJECTION DRUG USERS, NIDA GRANT R01DA020368 The specific aims of this study are: (1) to estimate the prevalence of psychiatric disorders and symptoms among young IDU; (2) to examine the sociodemographic and drug use correlates of psychiatric problems; (3) to identify gaps in access to psychiatric care, drug treatment, and HIV/STD prevention services among young IDUs with and without psychiatric problems; (4) to compare the rates of unsafe sex and injection behaviors among young IDUs with and without psychiatric problems; (5) to compare HIV-prevention knowledge, pro-prevention attitudes and norms, and self-efficacy for prevention behavior of young IDUs with and without psychiatric problems; and (6) to test an Information-Motivation-Behavioral Skills (IMB) model of HIV risk behavior on a sample of young IDUs. We completed interviews with 570 IDUs ages 18 to 25 years recruited from Chicago neighborhoods through outreach and respondent-driven sampling. Trained clinicians administered the Psychiatric Research Interview for Substance and Mental Disorders (PRISM) to assess psychiatric disorders and symptoms. Respondents also completed an audio-computer-assisted self-interview (ACASI) survey to assess risk behavior, treatment and service history, socio-demographic background, and social-cognitive measures. Findings have been reported in the following journal articles: Mackesy-Amiti ME, Donenberg GR, Ouellet LJ. Prevalence of psychiatric disorders among young injection drug users. Drug Alcohol Depend. 2012 Jul 1;124(1-2):70-8. doi: 10.1016/j.drugalcdep.2011.12.012. Epub 2012 Jan 9. PMID: 22226707; PMCID: PMC3350828. Mackesy-Amiti ME, Donenberg GR, Ouellet LJ. Psychiatric correlates of injection risk behavior among young people who inject drugs. Psychol Addict Behav. 2014 Dec;28(4):1089-95. doi: 10.1037/a0036390. Epub 2014 Aug 18. PMID: 25134053; PMCID: PMC4274210. Mackesy-Amiti ME, Donenberg GR, Ouellet LJ. Prescription opioid misuse and mental health among young injection drug users. Am J Drug Alcohol Abuse. 2015 Jan;41(1):100-6. doi: 10.3109/00952990.2014.940424. Epub 2014 Aug 8. PMID: 25105884; PMCID: PMC4262584.
DOI: 10.17632/ftp3mc25wz.1
title: Sensitivity of potato crop yield to climate change data

description: Sensitivity of potato crop yield to climate change data
DOI: 10.21227/gvbk-8530
title: Shoulder Physiotherapy Activity Recognition 9-Axis Dataset

description: **Dataset will be uploaded soon - dataset is complete but uploader is currently freezing midway through status bar**This dataset contains inertial data consisting of 1) physiotherapy exercise recordings, and 2) unlabeled other activity data recordings, each collected by smart watches worn by healthy subjects. This dataset may be used to perform supervised classification analysis of physiotherapy exercises, or to perform out-of-distribution detection analysis with the unlabeled other activity data.It consists of 9-axis inertial sensor data (accelerometer, gyroscope, and magnetometer) collected using a Huawei Watch 2 from 20 healthy subjects (40 shoulders), as they perform 10 shoulder physiotherapy exercises. This dataset also includes ~3 hours of unlabeled other activity data for each patient that can be used to simulate out-of-distribution data (label 11).Dataset is labeled as follows:0: None1: External Rotation (Isometric)2: Scapula Retraction at 90 Degrees Flexion3: Internal Rotation (Isometric)4: Extension (Isometric)5: Abduction (Isometric)6: External Rotation at 0 Degrees Flexion7: Cross Chest Adduction8: Active Flexion9: Shoulder Girdle Stabilization with Elevation10: Triceps Pull Downs11: OODThe subjects repeat each activity 20 times on each side (left and right). Isometric exercises are low-motion stability exercises.
DOI: 10.17632/vg3r5355bj.2
title: Code used for " An evolutionary model identifies the main selective pressures for the evolution of genome-replication profiles."

description: Code used for " An evolutionary model identifies the main selective pressures for the evolution of genome-replication profiles." At each cell cycle, a yeast cell replicates its genome by a prescribed but stochastic temporal program encoded by the localization and strength of a set of discrete "replication origins" along the genome. This temporal program is of primary importance for cell viability and, consequently, on evolutionary time scale it is subject to selective pressures. By mathematical modelling of replication-origins evolution this study identifies the two main selective pressures responsible for evolutionary appearance and disappearance of replication origins.
DOI: 10.17632/frpm7rywcn.2
title: Data for: Can the seasonal pattern of consumption growth reproduce habits in the cross-section of stock returns? Evidence from the European equity market

description: We compile all return and macroeconomic data from Kenneth French's website and the OECD statistical data warehouse, respectively, for the period from January 1990 to December 2018. All return and macroeconomic data include the following countries: Austria, Belgium, Denmark, Finland, France, Germany, Greece, Ireland, Italy, Netherlands, Norway, Portugal, Spain, Sweden, Switzerland and United Kingdom.The dataset comprises the following series: 1. Fama-French factors, 3-factor model, as provided by Kenneth French (Europe_3_Factors.txt). 2. Fama-French factors, 5-factor model, as provided by Kenneth French (Europe_5_Factors.txt). 3. Returns for 25 size-BE/ME portfolios, as provided by Kenneth French (Europe_25_Portfolios_ME_BE-ME.txt). 4. Returns for 25 size-momentum, as provided by Kenneth French (Europe_25_Portfolios_ME_Prior_12_2.txt). 5. Weighted average per capita consumption growth. We first collect quarterly chained volume estimates for consumption in nondurables and services, non-seasonally adjusted, in national currency, for the 16 countries under consideration (‘Non-durable goods’ and ‘Services’ series, LNBQR measure). Second, we use the population series provided by the OECD to determine per capita consumption growth series for each country. Finally, we estimate the average consumption growth for the economies under consideration, weighting by population (Europe_Consumption_Q.txt). 6. Weighted average consumer confidence index (CCI). We collect monthly CCI data as provided by the OECD (‘OECD Standardised CCI, Amplitude adjusted, sa’ series, dataset ‘Composite Leading Indicators’, MEI). We determine the average CCI for the economies under consideration, weighting by population (Europe_Indicators_Q.txt).
DOI: 10.17632/954dxdncrv.1
title: NADH-driven polyhydroxybutyrate accumulation in E. coli dataset 2

description: Generation of polyhydroxybutyrate (PHB) as a fermentation product enables the coupling of growth and product generation. Moreover, the reduction of oxygen supply should reduce operative cost and increase product yield. Generation of PHB as a fermentation product depends on the in vivo activity of an NADH-preferring acetoacetyl-CoA reductase. Proof of this concept requires the characterization of an NADH-preferring acetoacetyl-CoA reductase and PHB accumulation in a species naturally incapable of doing so, for example, Escherichia coli. This dataset contains three folders. The Enzyme Kinetics data folder contains: (1) Enzyme stability assays (Selwyn tests). (2) Initial rates versus acetoacetyl-CoA concentration and progress curves from reactions catalyzed by the acetoacetyl-CoA reductase from Candidatus Accumulibacter phosphatis (AARCAp) and another enzyme (AARChimera), who is a modification of the acetoacetyl-CoA reductase from Cupriavidus necator where the original residues N37-S38-P39-R40-R41 were replaced by the residues E37-F38-D39-K40-P41 from AARCAp; (3) Scripts to analyze these kinetic data with the software DYNAFIT and files resulting from the analysis with DYNAFIT, (4) a MATLAB script to calculate the relative consumption of NADH and NADPH (5) a MATLAB script to calculate the metabolic flux capacity of the reaction catalyzed by an acetoacetyl-CoA reductase at different NADH/NAD ratios. The "Fermentations" folder contains: (1) An Excel file with the biomass composition of an engineered E. coli strain: ((F– λ– ilvG– rfb-50 rph-1 (DE3) ΔadhE ΔadhP ΔldhA Δpta ΔmhpF)) transformed with the plasmid pCOLA-phaCACnecatorphaBCAp-cscABK. phaCA genes encodes for the polyhydroxybutyrate synthase and the acetyl-coenzyme A acetyltransferase from C. necator respectively; phaBCAp gene encodes for the enzyme AARCAp; cscABK genes encodes for the sucrose hydrolase, the sucrose:proton symporter and fructose kinase from E. coli W, respectively. (2) The MATLAB file “ecolicore.mat” which contains an E. coli wild type in silico model. (3) A MATLAB script to generate an in silico model of the engineered strain, considering plasmid and protein burdens. (4) An in silico metabolic model of the engineered E. coli strain. (5) A MATLAB script to calculate the reconciled specific rates during the continuous growth of such strain. Two steady-states, characterized by different levels of oxygen limitation, were studied. Sucrose was employed as the sole carbon source and the dilution rate was D=0.1 1/h. (6) An Excel file with the observed unbalanced and reconciled specific rates of the engineered strain during the growth in the continuous culture. (7) A MATLAB script to calculate the reconciled rates and the metabolic fluxes distributions. (8) Metabolic fluxes distributions in an Excel table and over a Metabolic fluxes distribution map. The "Plasmids DNA sequence maps" folder contains the DNA sequence maps of different plasmids employed in this research.
DOI: 10.17632/y88c7wdvf2.1
title: Cloud Architect

description: A Cloud Architect is an IT specialist who develops a company’s computing strategy. This strategy incorporates cloud adoption plans, cloud application design as well as cloud management and monitoring. Additional responsibilities include support for application architecture and deployment in cloud environments. The Architect also assists with cloud environments such as the public cloud, private cloud, and hybrid cloud. This professional draws on solid knowledge of the company’s cloud architecture and platform when designing and developing dynamic cloud solutions. https://www.fieldengineer.com/skills/cloud-architect
DOI: 10.17632/zgnrtm6pvw.2
title: Assessment of Ultrasonic Data of signals backscattered by mortar using the principal component analysis

description: Investigation of ultrasonic parameters of signals backscattered by mortar using the Principal Component Method
DOI: 10.17632/2wxnrd832j.1
title: The possibility of the combination of OCT and fundus images for improving the diagnostic accuracy of deep learning for age-related macular degeneration: a preliminary experiment

description: This dataset is an upgraded version of the dataset used in the latter part of the article "The possibility of the combination of OCT and fundus images for improving the diagnostic accuracy of deep learning for age-related macular degeneration: a preliminary experiment" in Medical & Biological Engineering & Computing volume 57, pages677–687(2019). Images including both OCT and matched fundus photograph was crawled from Google Image Search using keywords related to normal retina, drusen, AMD, and OCT. The dataset was built by harvesting images manually for normal and AMD categories. Finally, 59 normal eyes, 26 drusens, and 98 AMD eyes including both OCT and matched fundus images were obtained.
DOI: 10.17632/mympwmcvss.1
title: LINF_010009100

description: hypothetical protein - conserved
DOI: 10.17632/hp2vb32m9f.1
title: LINF_010009000

description: hypothetical protein - conserved
DOI: 10.17632/96txwh4h2g.1
title: LINF_010008900

description: hypothetical protein - conserved
DOI: 10.17632/6d83yzg5xf.1
title: LINF_010008800

description: Protein of unknown function (DUF788)
DOI: 10.17632/dwbpscshwz.1
title: LINF_010008700

description: hypothetical protein - conserved
DOI: 10.17632/nphgrvyf39.1
title: Does Personality matter? Small business owners and modes of innovation

description: Three items are provided: 1. The Stata Datset 2. The Stata Do-file 3. A description of our variables in Excel format
DOI: 10.17632/pr3f5rvj8c.1
title: Experimental dataset on sediment depths in the study of silted-up dam break flood wave for dry- and wet-bed downstream conditions while 50 to 80% of the dam reservoir is filled-up with sediment

description: Experimental data collection In this file, all sediment depth data associated with 20 different silted-up dam break scenarios were extracted from high-quality experimental video images. The dataset are collected, classified and presented a total of 20 distinct tables in 5 categories based on initial upstream sediment depth; 15 cm, 17.5 cm, 20 cm, 22 cm and 24 cm. Tables 1-4, present the sediment depth data at 20 different locations along the flume and 15 snap times after the dam break, while the initial upstream sediment depth is 15 cm (50% of the reservoir height). Dry- and wet-bed initial downstream condition with 2 cm, 4 cm and 5 cm standing water depth are detailed in Table 1-4, respectively. Table 5-8 provide the sediment depth data at all abovementioned sections and snap times while the initial upstream sediment depth is 17.5 cm (58% of the reservoir height), and dry- or wet-bed downstream with 2 cm, 4 cm and 5 cm standing water depth were considered as initial downstream conditions, respectively. Table 9-12 show the sediment depth data at all sections and snap times while the initial upstream sediment depth is 20 cm (67% of the reservoir height), and dry- or wet-bed downstream with 2 cm, 4 cm and 5 cm standing water depth were considered as initial downstream conditions, respectively. Table 13-16 provide the sediment depth data at all sections and snap times while the initial upstream sediment depth is 22 cm (73% of the reservoir height), and dry- or wet-bed downstream with 2 cm, 4 cm and 5 cm standing water depth were considered as initial downstream conditions, respectively. Table 17-20 show the sediment depth data at all sections and snap times while the initial upstream sediment depth is 24 cm (80% of the reservoir height), and dry- or wet-bed downstream with 2 cm, 4 cm and 5 cm standing water depth were considered as initial downstream conditions, respectively. Affiliations 1st Author: Foad Vosoughi, Research Associate, Department of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran. foad.vosooghi@gmail.com 2nd Author: Gholamreza Rakhshandehroo, Professor, Department of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran. 3rd Author: Mohammad Reza Nikoo, Associate Professor, Department of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran.
DOI: 10.17632/wxsxx3yt3y.4
title: Data for: Forest Fires in Spain

description: Data used in the paper: Forest Fires in Spain update in october 2020
DOI: 10.5517/ccdc.csd.cc250mys
title: CCDC 1996615: Experimental Crystal Structure Determination

description: Related Article: Hervé Dekkiche, Andrea Gemma, Fatemeh Tabatabaei, Andrei S. Batsanov, Thomas Niehaus, Bernd Gotsmann, Martin R. Bryce|2020|Nanoscale|12|18908|doi:10.1039/D0NR04413J
DOI: 10.5517/ccdc.csd.cc250j4w
title: CCDC 1996497: Experimental Crystal Structure Determination

description: Related Article: Chieh-Kai Chan, Chien-Yu Lai, Cheng-Chung Wang|2020|Org.Biomol.Chem.|18|7201|doi:10.1039/D0OB01507E
DOI: 10.5517/ccdc.csd.cc250mzt
title: CCDC 1996616: Experimental Crystal Structure Determination

description: Related Article: Hervé Dekkiche, Andrea Gemma, Fatemeh Tabatabaei, Andrei S. Batsanov, Thomas Niehaus, Bernd Gotsmann, Martin R. Bryce|2020|Nanoscale|12|18908|doi:10.1039/D0NR04413J
DOI: 10.5517/ccdc.csd.cc254f2v
title: CCDC 2000246: Experimental Crystal Structure Determination

description: Related Article: Angelos B. Canaj, Sourav Dey, Claire Wilson, Oscar Céspedes, Gopalan Rajaraman, Mark Murrie|2020|Chem.Commun.|56|12037|doi:10.1039/D0CC04559D
DOI: 10.5517/ccdc.csd.cc256mtv
title: CCDC 2002377: Experimental Crystal Structure Determination

description: Related Article: Chieh-Kai Chan, Chien-Yu Lai, Cheng-Chung Wang|2020|Org.Biomol.Chem.|18|7201|doi:10.1039/D0OB01507E
DOI: 10.5517/ccdc.csd.cc2499g7
title: CCDC 1975148: Experimental Crystal Structure Determination

description: Related Article: Ting Wu, Shenlong Jiang, Pabitra Narayan Samanta, Yangbin Xie, Jipeng Li, Xiaoling Wang, Majumdar Devashis, Xiangwei Gu, Yusong Wang, Wei Huang, Qun Zhang, Jerzy Leszczynski, Dayu Wu|2020|Chem.Commun.|56|12057|doi:10.1039/D0CC04788K
DOI: 10.5517/ccdc.csd.cc2499h8
title: CCDC 1975149: Experimental Crystal Structure Determination

description: Related Article: Ting Wu, Shenlong Jiang, Pabitra Narayan Samanta, Yangbin Xie, Jipeng Li, Xiaoling Wang, Majumdar Devashis, Xiangwei Gu, Yusong Wang, Wei Huang, Qun Zhang, Jerzy Leszczynski, Dayu Wu|2020|Chem.Commun.|56|12057|doi:10.1039/D0CC04788K
DOI: 10.5517/ccdc.csd.cc2499kb
title: CCDC 1975151: Experimental Crystal Structure Determination

description: Related Article: Ting Wu, Shenlong Jiang, Pabitra Narayan Samanta, Yangbin Xie, Jipeng Li, Xiaoling Wang, Majumdar Devashis, Xiangwei Gu, Yusong Wang, Wei Huang, Qun Zhang, Jerzy Leszczynski, Dayu Wu|2020|Chem.Commun.|56|12057|doi:10.1039/D0CC04788K
DOI: 10.5517/ccdc.csd.cc2499lc
title: CCDC 1975152: Experimental Crystal Structure Determination

description: Related Article: Ting Wu, Shenlong Jiang, Pabitra Narayan Samanta, Yangbin Xie, Jipeng Li, Xiaoling Wang, Majumdar Devashis, Xiangwei Gu, Yusong Wang, Wei Huang, Qun Zhang, Jerzy Leszczynski, Dayu Wu|2020|Chem.Commun.|56|12057|doi:10.1039/D0CC04788K
DOI: 10.5517/ccdc.csd.cc2499md
title: CCDC 1975153: Experimental Crystal Structure Determination

description: Related Article: Ting Wu, Shenlong Jiang, Pabitra Narayan Samanta, Yangbin Xie, Jipeng Li, Xiaoling Wang, Majumdar Devashis, Xiangwei Gu, Yusong Wang, Wei Huang, Qun Zhang, Jerzy Leszczynski, Dayu Wu|2020|Chem.Commun.|56|12057|doi:10.1039/D0CC04788K
DOI: 10.5517/ccdc.csd.cc2499nf
title: CCDC 1975154: Experimental Crystal Structure Determination

description: Related Article: Ting Wu, Shenlong Jiang, Pabitra Narayan Samanta, Yangbin Xie, Jipeng Li, Xiaoling Wang, Majumdar Devashis, Xiangwei Gu, Yusong Wang, Wei Huang, Qun Zhang, Jerzy Leszczynski, Dayu Wu|2020|Chem.Commun.|56|12057|doi:10.1039/D0CC04788K
DOI: 10.5517/ccdc.csd.cc2499pg
title: CCDC 1975155: Experimental Crystal Structure Determination

description: Related Article: Ting Wu, Shenlong Jiang, Pabitra Narayan Samanta, Yangbin Xie, Jipeng Li, Xiaoling Wang, Majumdar Devashis, Xiangwei Gu, Yusong Wang, Wei Huang, Qun Zhang, Jerzy Leszczynski, Dayu Wu|2020|Chem.Commun.|56|12057|doi:10.1039/D0CC04788K
DOI: 10.5517/ccdc.csd.cc258dpk
title: CCDC 2004078: Experimental Crystal Structure Determination

description: Related Article: Thomas Stadelmann, Govindan Subramanian, Sanjay Menon, Chad E. Townsend, R. Scott Lokey, Marc-Olivier Ebert, Sereina Riniker|2020|Org.Biomol.Chem.|18|7110|doi:10.1039/D0OB01447H
DOI: 10.5517/ccdc.csd.cc258dzv
title: CCDC 2004087: Experimental Crystal Structure Determination

description: Related Article: Thomas Stadelmann, Govindan Subramanian, Sanjay Menon, Chad E. Townsend, R. Scott Lokey, Marc-Olivier Ebert, Sereina Riniker|2020|Org.Biomol.Chem.|18|7110|doi:10.1039/D0OB01447H
DOI: 10.5517/ccdc.csd.cc25fcgg
title: CCDC 2008845: Experimental Crystal Structure Determination

description: Related Article: Marc Schnierle, Svenja Blickle, Vasileios Filippou, Mark R. Ringenberg|2020|Chem.Commun.|56|12033|doi:10.1039/D0CC03805A
DOI: 10.5517/ccdc.csd.cc25qrm9
title: CCDC 2017871: Experimental Crystal Structure Determination

description: Related Article: Qiang Wang, Wen-Wen Zhang, Hao Song, Jian Wang, Chao Zheng, Qing Gu, Shu-Li You|2020|J.Am.Chem.Soc.|142|15678|doi:10.1021/jacs.0c08205
DOI: 10.5517/ccdc.csd.cc2529l5
title: CCDC 1998216: Experimental Crystal Structure Determination

description: Related Article: Csilla Fekete, Jamie Barrett, Zoltán Benkő, Dominikus Heift|2020|Inorg.Chem.|59|13270|doi:10.1021/acs.inorgchem.0c01619
DOI: 10.5517/ccdc.csd.cc25bf0z
title: CCDC 2006010: Experimental Crystal Structure Determination

description: Related Article: Yajun Gao, Mingxing Zhang, Cong Chen, Yong Zhang, Yuming Gu, Qian Wang, Wenwei Zhang, Yi Pan, Jing Ma, Junfeng Bai|2020|Chem.Commun.|56|11985|doi:10.1039/D0CC04543H
DOI: 10.5517/ccdc.csd.cc25bf10
title: CCDC 2006011: Experimental Crystal Structure Determination

description: Related Article: Yajun Gao, Mingxing Zhang, Cong Chen, Yong Zhang, Yuming Gu, Qian Wang, Wenwei Zhang, Yi Pan, Jing Ma, Junfeng Bai|2020|Chem.Commun.|56|11985|doi:10.1039/D0CC04543H
DOI: 10.5517/ccdc.csd.cc25njcr
title: CCDC 2015724: Experimental Crystal Structure Determination

description: Related Article: Ya Yin, Hao Hu, Zhao Chen, Hongliang Liu, Congbin Fan, Shouzhi Pu|2021|Dyes Pigm.|184|108828|doi:10.1016/j.dyepig.2020.108828
DOI: 10.17632/zvs4xm845b.1
title: Multiple savanna ecosystem function data in the Brazilian savanna (Cerrado)
DOI: 10.17632/35cjdrskd4.1
title: Data for "A model of the sand transport rate that accounts for the effect of averaging time

description: This data includes all the experiment results of the paper :A model of the sand transport rate that accounts for the effect of averaging time
DOI: 10.17632/p4cnd87hxh.1
title: QLQ-C30 -QLQ-BR23 Mauricio Hernandez Universidad del Valle

description: 80 answers to the QLQ-C30 and QLQ-BR- 23 questionnaire. Some sociodemographic variables were considered, the research team is estimating which variables affect the quality of life by means of Bayesian models and structural equations.
DOI: 10.17632/29yv8pmr56.3
title: Skin responses in newly diagnosed polyneuropathy, organomegaly, endocrinopathy, monoclonal, gammopathy, and skin changes (POEMS) syndrome after therapy with low-dose lenalidomide plus dexamethasone: A single-arm prospective phase II study

description: Supplementary Appendix
DOI: 10.17632/dkx728tns4.13
title: Data for: Engineering geology of residual soil derived from mudstone in Zimbabwe

description: The soil properties and supplementary materials are provided.
DOI: 10.17632/47z79nw2wz.1
title: Death from infection among cancer patients

description: Source data for "Death from infection among cancer patients"
DOI: 10.17632/n7dw7psp3z.1
title: Magmatic Zircon and its Association with Iron Oxide Copper Gold Alteration in the Gawler Craton, South Australia - Supplementary Data

description: Whole rock geochemistry, zircon geochemistry and CL images for data used in 'Magmatic Zircon and its Association with Iron Oxide Copper Gold Alteration in the Gawler Craton, South Australia' manuscript.
DOI: 10.17632/k7bzmf6mn6.1
title: Quantifying matrix-fiber mechanical interactions in hyperelastic materials

description: Movies showing the local stretch maps captured via the digital image correlation (DIC) for PDMS-GF and PUR-GF composites.