cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3398470.v1
title: A new crocodile displaying extreme constriction of the mandible, from the late Oligocene of Riversleigh, Australia

description: A new fossil crocodile, <i>Ultrastenos willisi</i>, is described from a cranium and postcranial materials collected from the Riversleigh World Heritage Area, northwestern Queensland, Australia. The mandible displays pronounced anterior constriction, approaching that seen in the extant gharial, <i>Gavialis gangeticus</i>, and false gharial, <i>Tomistoma schlegelii</i>. As such, <i>U. willisi</i> potentially filled the ecomorphological niche associated with longirostry that has been previously unaccounted for in Riversleigh's Oligo–Miocene crocodile fauna. The pronounced constriction and features of the posterior cranium further distinguish <i>U. willisi</i> from all other known crocodiles, including the only reported Australian Oligo–Miocene longirostral crocodile, <i>Harpacochampsa camfieldensis</i>, from Bullock Creek in the Northern Territory. <i>Ultrastenos willisi</i> is recognized as a new genus and species assigned to subfamily Mekosuchinae on the basis of phylogenetic analysis.http://zoobank.org/urn:lsid:zoobank.org:pub:7C6DC891-BD9C-4F84-AF7D-409A4A8C720D SUPPLEMENTAL DATA—Supplemental materials are available for this article for free at www.tandfonline.com/UJVP Citation for this article: Stein, M., S. J. Hand, and M. Archer. 2016. A new crocodile displaying extreme constriction of the mandible, from the late Oligocene of Riversleigh, Australia. Journal of Vertebrate Paleontology. DOI: 10.1080/02724634.2016.1179041.
DOI: 10.6084/m9.figshare.3398467
title: Method of predicting soil mechanical parameters in shallow formation while jetting process in deep-water drilling

description: The mechanical properties of shallow soils in deep water play an important role in drilling design and construction as well as later oil and gas development. Since it is difficult to collect soil samples from layers deeper than 10 m below the sea floor, the acquisition of shallow soil mechanics, based on the variation of drilling parameters in the deep-water drilling process, is not only economical but also reliable. In this article, we analyze the variation of subsea soil properties based on the variation of deep-water jet-drilling construction parameters, calculate the lateral friction resistance of conductor by use of weight-on-bit (WOB) and displacement parameters in the jetting process, and determine the drilled formation’s shear strength and internal friction angle in consideration of restored friction resistance. To verify the accuracy of the prediction-while-drilling model on seabed shallow soil mechanics, indoor unit and field simulation experiments were separately conducted. Moreover, the calculations from field application examples indicate that the prediction-while-drilling of deep-water seabed shallow soil mechanics achieves high conformity with the local practice results, which also indicates that this method could effectively guide field construction operations.
DOI: 10.6084/m9.figshare.3398467.v2
title: Method of predicting soil mechanical parameters in shallow formation while jetting process in deep-water drilling

description: The mechanical properties of shallow soils in deep water play an important role in drilling design and construction as well as later oil and gas development. Since it is difficult to collect soil samples from layers deeper than 10 m below the sea floor, the acquisition of shallow soil mechanics, based on the variation of drilling parameters in the deep-water drilling process, is not only economical but also reliable. In this article, we analyze the variation of subsea soil properties based on the variation of deep-water jet-drilling construction parameters, calculate the lateral friction resistance of conductor by use of weight-on-bit (WOB) and displacement parameters in the jetting process, and determine the drilled formation’s shear strength and internal friction angle in consideration of restored friction resistance. To verify the accuracy of the prediction-while-drilling model on seabed shallow soil mechanics, indoor unit and field simulation experiments were separately conducted. Moreover, the calculations from field application examples indicate that the prediction-while-drilling of deep-water seabed shallow soil mechanics achieves high conformity with the local practice results, which also indicates that this method could effectively guide field construction operations.
DOI: 10.6084/m9.figshare.3398467.v1
title: Method of Predicting Soil Mechanical Parameters in Shallow Formation While Jetting Process in Deepwater Drilling

description: The mechanical properties of shallow soils in deep water play an important role in drilling design and construction as well as later oil and gas development. Since it is difficult to collect soil samples from layers deeper than 10 meters below the sea floor, the acquisition of shallow soil mechanics, based on the variation of drilling parameters in the deepwater drilling process, is not only economical but also reliable. In this paper, we analyze the variation of subsea soil properties based on the variation of deepwater jet-drilling construction parameters, calculate the lateral friction resistance of conductor by use of WOB and displacement parameters in the jetting process, and determine the drilled formation's shear strength and internal friction angle in consideration of restored friction resistance. In order to verify the accuracy of the prediction-while-drilling model on seabed shallow soil mechanics, indoor unit and field simulation experiments were separately conducted. Moreover, the calculations from field application examples indicate that the prediction-while-drilling of deepwater seabed shallow soil mechanics achieves high conformity with the local practice results, which also indicates that this method could effectively guide field construction operations.
DOI: 10.6084/m9.figshare.3398452
title: Comparison of the 3D bioprinting of alginate, collagen, and fibrin hydrogels

description: Morphology and viability of Schwann cell cultured in hydrogels over time. Morphology was calculated using ImageJ by assessing circularity. Viability was assessed by staining cells using calcein-AM and propidium iodide.<br>Printability of hydrogels was assessed by measuring the width of 3D-printed strands and the interstrand distance.
DOI: 10.6084/m9.figshare.3398452.v1
title: Schwann cell morphology in hydrogels.xlsx

description: Morphology of Schwann cell cultured in hydrogels over time. Morphology was calculated using ImageJ by assessing circularity.
DOI: 10.6084/m9.figshare.3398452.v3
title: Comparison of the 3D bioprinting of alginate, collagen, and fibrin hydrogels

description: Morphology and viability of Schwann cell cultured in hydrogels over time. Morphology was calculated using ImageJ by assessing circularity. Viability was assessed by staining cells using calcein-AM and propidium iodide.<br>Printability of hydrogels was assessed by measuring the width of 3D-printed strands and the interstrand distance.
DOI: 10.6084/m9.figshare.3398452.v2
title: Schwann cell morphology in hydrogels.xlsx

description: Morphology of Schwann cell cultured in hydrogels over time. Morphology was calculated using ImageJ by assessing circularity.
DOI: 10.6084/m9.figshare.3398401
title: Resume Samples

description: Resume samples for study<br>
DOI: 10.6084/m9.figshare.3398398
title: Bryozoan growth

description: Bryozoan colony growth (in cm^2) over time up to the fourth week, 3 replicate bryozoan colonies chosen haphazardly from each tile. After the fourth week, these colonies began to run into eachother, and growth was difficult to determine.
DOI: 10.6084/m9.figshare.3398395
title: Mussel counts

description: Counts of mussels from photographs in Image J at week 10.
DOI: 10.6084/m9.figshare.3398392
title: Mussel size spectrum

description: Size spectrum data from one tile in each mesocosm, from preserved tiles. Mussels were removed from tiles and photographed, analysis in Image J
DOI: 10.6084/m9.figshare.3398386
title: Environmental parameters

description: Carbonate chemistry, temperature, salinity. Inputs for CO2sys program.
DOI: 10.6084/m9.figshare.3398377
title: Percent cover all species

description: Percent cover of all fouling species over time. 0.5% indicates that the species was present but not detected in a point count grid method of 100 points on a photograph.
DOI: 10.6084/m9.figshare.3398377.v1
title: Acidification affects community structure and diversity

description: Percent cover of all fouling species over time. 0.5% indicates that the species was present but not detected in a point count grid method of 100 points on a photograph.
DOI: 10.6084/m9.figshare.3398365
title: Iowa State Engineers' Week Publicity Materials

description: Instruction packet for Publicity Committee for Engineers' Week.<br>
DOI: 10.6084/m9.figshare.3398365.v2
title: Iowa State Engineers' Week Publicity Materials

description: Instruction packet for Publicity Committee for Engineers' Week.<br>
DOI: 10.6084/m9.figshare.3398365.v1
title: Iowa State Engineers' Week Publicity Manual

description: Instruction packet for Publicity Committee for Engineers' Week.<br>
DOI: 10.6084/m9.figshare.3398356
title: Aerobic scope increases throughout an ecologically relevant temperature range in coho salmon

description: Some of the data presented in paper published in J. Exp. Biol. paper by Graham D. Raby and co-authors, entitled: "Aerobic scope increases throughout an ecologically relevant temperature range in coho salmon"<br><br>DOI of corresponding paper = <br><br>doi:10.1242/jeb.137166<br>
DOI: 10.6084/m9.figshare.3398356.v1
title: Aerobic scope increases throughout an ecologically relevant temperature range in coho salmon

description: Some of the data presented in paper published in J. Exp. Biol. paper by Graham D. Raby and co-authors, entitled: "Aerobic scope increases throughout an ecologically relevant temperature range in coho salmon"<br><br>DOI of corresponding paper = <br><br>doi:10.1242/jeb.137166<br>
DOI: 10.6084/m9.figshare.3398353
title: elf3 and pif4 are independent in flowering, data and code

description: new fileset containing data and code associated with the newest version of manuscript: http://biorxiv.org/content/early/2016/03/22/038257 (this is still the old manuscript version, new one to be posted soon). <br><br>
DOI: 10.6084/m9.figshare.3398353.v2
title: elf3 and pif4 are independent in flowering, data and code

description: new fileset containing data and code associated with the newest version of manuscript: http://biorxiv.org/content/early/2016/03/22/038257 (this is still the old manuscript version, new one to be posted soon). <br><br>
DOI: 10.6084/m9.figshare.3398353.v1
title: elf3_pif4_data_code_v2

description: new fileset containing data and code associated with the newest version of manuscript: http://biorxiv.org/content/early/2016/03/22/038257 (this is still the old manuscript version, new one to be posted soon). <br><br>
DOI: 10.6084/m9.figshare.3398320
title: Perception_NeilAll_Targets.txt

description: These are data used in Baese-Berk et al., Experiment 2.
DOI: 10.6084/m9.figshare.3398317
title: Two-phase glasshouse study of abiotic and biotic soil controls on primary succession plant performance

description: Dataset for a two-phase glasshouse study of plant soil interactions during primary succession. Data include above and belowground biomass for two native species, root colonization by AM fungi, and soil biogeochemical information.
DOI: 10.6084/m9.figshare.3398317.v1
title: Two-phase glasshouse study of abiotic and biotic soil controls on primary succession plant performance

description: Dataset for a two-phase glasshouse study of plant soil interactions during primary succession. Data include above and belowground biomass for two native species, root colonization by AM fungi, and soil biogeochemical information.
DOI: 10.6084/m9.figshare.3398314
title: Smart Energy for Smart Irrigation

description: We design, implement and evaluate a software platform that couples the smartness of the irrigation systems with the smartness of the energy systems. The resulting simulation engine allows large scale and very detailed experimentation which allow irrigation experts to specify energy ef- fective configurations that lead to the reduction of the irrigation cost through smart utilization of renewable energy sources.
DOI: 10.6084/m9.figshare.3398056
title: Behavioural data and code the plot them

description: The data require MatLab. Run the DataExtractor.m script to plot the data presented in Figure 4, 5 and 6.
DOI: 10.6084/m9.figshare.3398056.v2
title: Behavioural data and code the plot them

description: The data require MatLab. Run the DataExtractor.m script to plot the data presented in Figure 4, 5 and 6.
DOI: 10.6084/m9.figshare.3398056.v1
title: Behavioural data from adults and adolescents, as well as demographics.

description: The share contains the behavioral data in MatLab format, as well as a demographic file with age and IQ information. <br>The data are organized per column as follows: % subject number % session number % conditions % checktime % choice side % choice correct % factual outcome (depending on the condition) % alternative outcome (depending on the condition) % reaction time (millisecond)<br>
DOI: 10.6084/m9.figshare.3397939
title: EUROHYDROS_IMAU-APCG_data-archive.zip

description: These are the H2 mixing ratio and deuterium content data used in: Batenburg, A. M., Walter, S., Pieterse, G., Levin, I., Schmidt, M., Jordan, A., Hammer, S., Yver, C., and Röckmann, T.: Temporal and spatial variability of the stable isotopic composition of atmospheric molecular hydrogen: observations at six EUROHYDROS stations, Atmos. Chem. Phys., 11, 6985-6999, doi:10.5194/acp-11-6985-2011, 2011,http://www.atmos-chem-phys.net/11/6985/2011/acp-11-6985-2011.html Please cite this ACP article when using these data in a publication, and kindly notify the first author (annekebatenburg@gmail.com). In the CSV files:- Mixing ratios are reduction gas analyzer results obtained at UHEI-IUP, MPI-BGC and LSCE.- dD(H2) data are obtained from analysis with the GC-IRMS system at the IMAU-APCG lab of Utrecht University. The estimated standard deviation/error in a single measurement is 4.5 permil, based on measurements of a laboratory working tank.- Outlier selection was based on visual inspection of the time series.- The "biased" or "downshifted" flag indicates dD measurements performed in a period where the dD results seemed to have a positive bias of approximately 9.5 permil. These samples were shown in the time series figure with the 9.5 permil subtracted, but excluded from the following quantitative analyses.- The last column indicates the number of succesfull repeat measurements of dD. More information can be found in the published, open-access article. Please do not hesitate to contact annekebatenburg@gmail.com if you have any questions.
DOI: 10.6084/m9.figshare.3397939.v1
title: EUROHYDROS_IMAU-APCG_data-archive.zip

description: These are the H2 mixing ratio and deuterium content data used in: Batenburg, A. M., Walter, S., Pieterse, G., Levin, I., Schmidt, M., Jordan, A., Hammer, S., Yver, C., and Röckmann, T.: Temporal and spatial variability of the stable isotopic composition of atmospheric molecular hydrogen: observations at six EUROHYDROS stations, Atmos. Chem. Phys., 11, 6985-6999, doi:10.5194/acp-11-6985-2011, 2011,http://www.atmos-chem-phys.net/11/6985/2011/acp-11-6985-2011.html Please cite this ACP article when using these data in a publication, and kindly notify the first author (annekebatenburg@gmail.com). In the CSV files:- Mixing ratios are reduction gas analyzer results obtained at UHEI-IUP, MPI-BGC and LSCE.- dD(H2) data are obtained from analysis with the GC-IRMS system at the IMAU-APCG lab of Utrecht University. The estimated standard deviation/error in a single measurement is 4.5 permil, based on measurements of a laboratory working tank.- Outlier selection was based on visual inspection of the time series.- The "biased" or "downshifted" flag indicates dD measurements performed in a period where the dD results seemed to have a positive bias of approximately 9.5 permil. These samples were shown in the time series figure with the 9.5 permil subtracted, but excluded from the following quantitative analyses.- The last column indicates the number of succesfull repeat measurements of dD. More information can be found in the published, open-access article. Please do not hesitate to contact annekebatenburg@gmail.com if you have any questions.
DOI: 10.6084/m9.figshare.3397882
title: Muscle satellite cell content and mRNA signaling in germ cell cancer patients – effects of chemotherapy and resistance training

description: Muscle satellite cell content and mRNA signaling in germ cell cancer patients – effects of chemotherapy and resistance training
DOI: 10.6084/m9.figshare.3397882.v1
title: Muscle satellite cell content and mRNA signaling in germ cell cancer patients – effects of chemotherapy and resistance training

description: Muscle satellite cell content and mRNA signaling in germ cell cancer patients – effects of chemotherapy and resistance training
DOI: 10.6084/m9.figshare.3397732
title: A generic webcam image acquisition plugin for ImageJ

description: A new ImageJ acquisition plugin that allows to capture images or videos as series of images from any webcam compliant device in a platform-independent manner, using the Webcam Capture library.
DOI: 10.6084/m9.figshare.3397714.v1
title: Simple Genetic Algorithm

description: Simple Genetic Algorithm (SGA) than can be used for the purposes of education and research. SGA is used in a simple optimization problem: Let f(x)=abs(x-5/2+sin(x)) be a function that takes values in the range 0&lt;=x&lt;=15. Within this range f(x) <br>has a maximum value at x=11 (binary value is equal to 1011).
DOI: 10.6084/m9.figshare.3397663
title: Pāteke (<i>Anas chlorotis</i>) population trends in response to predator control on Great Barrier Island and Northland, New Zealand

description: Pāteke, brown teal (<i>Anas chlorotis</i>) were until recently restricted to two key strongholds in northern New Zealand: Great Barrier Island and eastern Northland. In 2000, we applied predator control at two sites within the strongholds. We analysed three decades of summer pāteke flock count data collected at ‘trapped’ and ‘untrapped’ locations to assess numerical pāteke response to predator control. Using piecewise regression, we found that Northland pāteke at trapped sites increased from 130 individuals before predator control, to 341 by 2015. Conversely, pāteke in untrapped areas in Northland remain low. Compared with the Northland trapped site, there was a slower rate of population increase in the predator treated site at Okiwi on Great Barrier Island; 286 individuals at trapped sites before predator control and 390 individuals in 2015. Pāteke numbers at untrapped sites on Great Barrier Island also increased, from 214 to 316 individuals. Cause of death analyses confirm that predation is a significant factor at trapped sites in Northland (87% of pāteke deaths) and Okiwi (56% of deaths), with starvation accounting for an additional 16% of identified causes of death at Okiwi. Access to sufficient food sources may be limiting at Okiwi, but overall the provision of predator control has benefitted pāteke populations.
DOI: 10.6084/m9.figshare.3397663.v1
title: Pāteke (<i>Anas chlorotis</i>) population trends in response to predator control on Great Barrier Island and Northland, New Zealand

description: Pāteke, brown teal (<i>Anas chlorotis</i>) were until recently restricted to two key strongholds in northern New Zealand: Great Barrier Island and eastern Northland. In 2000, we applied predator control at two sites within the strongholds. We analysed three decades of summer pāteke flock count data collected at ‘trapped’ and ‘untrapped’ locations to assess numerical pāteke response to predator control. Using piecewise regression, we found that Northland pāteke at trapped sites increased from 130 individuals before predator control, to 341 by 2015. Conversely, pāteke in untrapped areas in Northland remain low. Compared with the Northland trapped site, there was a slower rate of population increase in the predator treated site at Okiwi on Great Barrier Island; 286 individuals at trapped sites before predator control and 390 individuals in 2015. Pāteke numbers at untrapped sites on Great Barrier Island also increased, from 214 to 316 individuals. Cause of death analyses confirm that predation is a significant factor at trapped sites in Northland (87% of pāteke deaths) and Okiwi (56% of deaths), with starvation accounting for an additional 16% of identified causes of death at Okiwi. Access to sufficient food sources may be limiting at Okiwi, but overall the provision of predator control has benefitted pāteke populations.
DOI: 10.6084/m9.figshare.3397657
title: Listening to Pictures

description: If you're blind, how do you see art? How do you see graphs, or graphics, tables of information, or web pages? The simple answer is, by sound. By understanding the 'thing' we can describe it, by turning the properties of the thing into sounds we can hear it, by using a computer and keyboard we can interact with it. Here, we'll take a tour around auditory display, experiencing audification and sonification. I'll explain the whys and hows and discuss how auditory display has the potential to enhance everyone's lives.<br>
DOI: 10.6084/m9.figshare.3397657.v2
title: Listening to Pictures

description: If you're blind, how do you see art? How do you see graphs, or graphics, tables of information, or web pages? The simple answer is, by sound. By understanding the 'thing' we can describe it, by turning the properties of the thing into sounds we can hear it, by using a computer and keyboard we can interact with it. Here, we'll take a tour around auditory display, experiencing audification and sonification. I'll explain the whys and hows and discuss how auditory display has the potential to enhance everyone's lives.<br>
DOI: 10.6084/m9.figshare.3397603.v1
title: Custom toolbars and mini applications with Action Bar

description: The Action Bar ImageJ plugin facilitates creation of additional custom toolbars, using simple macro-like toolbar description file. Readers will learn how to setup a basic action bar, and how to use the latest features of this plugin. Button actions are basically macro programs, so action bars can interact with all standard ImageJ components. Primary use of these custom toolbars is to keep at hand often used commands, plugins and macros, but toolbars sets can be turned into mini applications with minimal effort. With these highly task-oriented applications, end users can focus on just using a simple system with absolutely no prior knowledge of ImageJ. This paper is aimed at ImageJ users with some previous experience with the macro language. This is the support material for a workshop I gave at the 2008 ImageJ conference in Luxembourg.
DOI: 10.6084/m9.figshare.3397603.v2
title: Custom toolbars and mini applications with Action Bar

description: The Action Bar ImageJ plugin facilitates creation of additional custom toolbars, using simple macro-like toolbar description file. Readers will learn how to setup a basic action bar, and how to use the latest features of this plugin. Button actions are basically macro programs, so action bars can interact with all standard ImageJ components. Primary use of these custom toolbars is to keep at hand often used commands, plugins and macros, but toolbars sets can be turned into mini applications with minimal effort. With these highly task-oriented applications, end users can focus on just using a simple system with absolutely no prior knowledge of ImageJ. This paper is aimed at ImageJ users with some previous experience with the macro language. This is the support material for a workshop I gave at the 2008 ImageJ conference in Luxembourg.
DOI: 10.6084/m9.figshare.3397600.v1
title: Experiment analysis

description: Results from all experiments <br>