{# General information# The script runs with R (Version 3.1.1; 2014-07-10) and packages plyr (Version 1.8.1), XLConnect (Version 0.2-9), utilsMPIO (Version 0.0.25), sp (Version 1.0-15), rgdal (Version 0.8-16), tools (Version 3.1.1) and lattice (Version 0.20-29)# --------------------------------------------------------------------------------------------------------# Questions can be directed to: Martin Bulla (bulla.mar@gmail.com)# -------------------------------------------------------------------------------------------------------- # Data collection and how the individual variables were derived is described in: #Steiger, S.S., et al., When the sun never sets: diverse activity rhythms under continuous daylight in free-living arctic-breeding birds. Proceedings of the Royal Society B: Biological Sciences, 2013. 280(1764): p. 20131016-20131016. # Dale, J., et al., The effects of life history and sexual selection on male and female plumage colouration. Nature, 2015. # Data are available as Rdata file # Missing values are NA. # --------------------------------------------------------------------------------------------------------# For better readability the subsections of the script can be collapsed # --------------------------------------------------------------------------------------------------------}{# Description of the method # 1 - data are visualized in an interactive actogram with time of day on x-axis and one panel for each day of data # 2 - red rectangle indicates the active field, clicking with the mouse in that field on the depicted light signal generates a data point that is automatically (via custom made function) saved in the csv file. For this data extraction I recommend, to click always on the bottom line of the red rectangle, as there is always data available due to a dummy variable ("lin") that creates continuous data at the bottom of the active panel. The data are captured only if greenish vertical bar appears and if new line of data appears in R console). # 3 - to extract incubation bouts, first click in the new plot has to be start of incubation, then next click depict end of incubation and the click on the same stop start of the incubation for the other sex. If the end and start of incubation are at different times, the data will be still extracted, but the sex, logger and bird_ID will be wrong. These need to be changed manually in the csv file. Similarly, the first bout for a given plot will be always assigned to male (if no data are present in the csv file) or based on previous data. Hence, whenever a data from a new plot are extracted, at a first mouse click it is worth checking whether the sex, logger and bird_ID information is correct and if not adjust it manually. # 4 - if all information from one day (panel) is extracted, right-click on the plot and choose "stop". This will activate the following day (panel) for extraction. # 5 - If you wish to end extraction before going through all the rectangles, just press "escape". }{# Annotations of data-files from turnstone_2009_Barrow_nest-t401_transmitter.RData dfr-- contains raw data on signal strength from radio tag attached to the rump of female and male, and information about when the birds where captured and incubation stage of the nest1. who: identifies whether the recording refers to female, male, capture or start of hatching2. datetime_: date and time of each recording3. logger: unique identity of the radio tag 4. signal_: signal strength of the radio tag5. sex: sex of the bird (f = female, m = male)6. nest: unique identity of the nest7. day: datetime_ variable truncated to year-month-day format8. time: time of day in hours9. datetime_utc: date and time of each recording, but in UTC time10. cols: colors assigned to "who"--------------------------------------------------------------------------------------------------------m-- contains metadata for a given nest1. sp: identifies species (RUTU = Ruddy turnstone)2. nest: unique identity of the nest3. year_: year of observation4. IDfemale: unique identity of the female5. IDmale: unique identity of the male6. lat: latitude coordinate of the nest7. lon: longitude coordinate of the nest8. hatch_start: date and time when the hatching of the eggs started 9. scinam: scientific name of the species10. breeding_site: unique identity of the breeding site (barr = Barrow, Alaska)11. logger: type of device used to record incubation (IT - radio tag)12. sampling: mean incubation sampling interval in seconds--------------------------------------------------------------------------------------------------------s-- contains metadata for the incubating parents1. year_: year of capture2. species: identifies species (RUTU = Ruddy turnstone)3. author: identifies the author who measured the bird4. nest: unique identity of the nest5. caught_date_time: date and time when the bird was captured6. recapture: was the bird capture before? (0 - no, 1 - yes)7. sex: sex of the bird (f = female, m = male)8. bird_ID: unique identity of the bird9. logger: unique identity of the radio tag --------------------------------------------------------------------------------------------------------}

Find details of R And R Export Import Specialities Buyer/importer data in US (United States) with product description, price, shipment date, quantity, imported products list, major us ports name, overseas suppliers/exporters name etc. at sear.co.in.

14 Global export shipment records of R Coat with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

R scripts presented as Jupyter Notebooks and data to generate load and concentration estimates produced for the journal publication: McDowell, W. H., McDowell, W. G., Potter, J. D. and Ramírez, A. (2018), Nutrient export and elemental stoichiometry in an urban tropical river. Ecol Appl. Accepted Author Manuscript. doi:10.1002/eap.1839

Find the publication here: https://doi.org/10.1002/eap.1839

We recommend running the JupyterNotebooks on a local JupyterHub instead of the online CUAHSI JupterHub. You will need to run install.R in order to load the needed R packages for the R script.

A prerender version of the Quebrada Sonadora Jupyter Notebook is available here https://nbviewer.jupyter.org/github/miguelcleon/River-nutrient-exports-Puerto-Rico-/blob/master/Sonadora%20%28QS%29%20flux%20and%20concentrations%202009-2014.ipynb

An interactive version of the Jupyter Notebooks maybe available on mybinder, mybinder is in beta and has been functioning inconsistently https://beta.mybinder.org/v2/gh/miguelcleon/River-nutrient-exports-Puerto-Rico-/master

The script 'Sonadora (QS) flux and concentrations 2009-2014.ipynb' in the contents below contains nicely formatted tables that match the tables in the publication. We suggest running this script first if you are interested in how the results were generated. The other two scripts 'Mameyes- Puente Roto (MPR) flux and concentrations 2009-2014.ipynb' and 'Rio Piedras flux and concentrations 2009-2014.ipynb' are raw scripts without formatted output.

The journal publication abstract is presented here:

Nutrient inputs to surface waters are particularly varied in urban areas, due to multiple nutrient sources and complex hydrologic pathways. Because of their close proximity to coastal waters, nutrient delivery from many urban areas can have profound impacts on coastal ecology. Relatively little is known about the temporal and spatial variability in stoichiometry of inorganic nutrients such as dissolved silica, nitrogen, and phosphorus (Si, N, and P) and dissolved organic matter in tropical urban environments. We examined nutrient stoichiometry of both inorganic nutrients and organic matter in an urban watershed in Puerto Rico served by municipal sanitary sewers and compared it to two nearby forested catchments using samples collected weekly from each river for 6 years. Urbanization caused large increases in the concentration and flux of nitrogen and phosphorus (2- to 50-fold), but surprisingly little change in N:P ratio. Concentrations of almost all major ions and dissolved silica were also significantly higher in the urban river than the wildland rivers. Yield of dissolved organic carbon (DOC) was not increased dramatically by urbanization, but the composition of dissolved organic matter shifted toward N-rich material, with a larger increase in dissolved organic nitrogen (DON) than DOC. The molar ratio of DOC:DON was about 40 in rivers draining forested catchments but was only 10 in the urban river. Inclusion of Si in the assessment of urbanization’s impacts reveals a large shift in the stoichiometry (Si:N and Si:P) of nutrient inputs. Because both Si concentrations and watershed exports are high in streams and rivers from many humid tropical catchments with siliceous bedrock, even the large increases in N and P exported from urban catchments result in delivery of Si, N, and P to coastal waters in stoichiometric ratios that are well in excess of the Si requirements of marine diatoms. Our data suggest that dissolved Si, often neglected in watershed biogeochemistry, should be included in studies of urban as well as less developed watersheds due to its potential significance for marine and lacustrine productivity.

Previous work has reported that the peptide derived from LfcinB, R-1-R exhibited anti-Candida activity, which is enhanced when combined with an extract from the Bidens pilosa plant. However, the mechanism of action has not been studied until now. In the current study, an approach to the mechanism of action was carried out through the use of mutant strains of C. albicans, a proteomic approach, followed by a bioinformatic analysis, and a validation of the results obtained, through biological assays in both SC5314 strain and a fluconazole-resistant isolate of Candida albicans, after incubation with the treatments. The results obtained with the mutant strains suggest that the R-1-R peptide and the B. pilosa extract exhibit a mechanism of action related to cell wall stress mediated by MAPKs (Hog1p and Mkc1p) and alteration in mitochondrial respiration due to interruption of ETC. After, changes in the protein expression profile of FLC-sensitive and -resistant C. albicans after six h of incubation with R-1-R or combination were analyzed, using a label free quantitative proteomic approach. The proteomic data showed that after treatment with R-1-R in the two study strains, most of the differentially expressed proteins in comparison to controls were up-regulated. These proteins were mainly involved in membrane and cell wall biosynthesis, membrane transporters, oxidative stress, the mitochondrial respiratory chain, and response to DNA damage. Besides, the proteomic analysis of C. albicans parental strain SC5314 treated with R-1-R in combination with an ethanolic extract of B. pilosa was also undertaken. The proteins differentially expressed after this treatment were involved in similar functional processes as the proteins differentially expressed after treatment with R-1-R peptide alone, but at different levels and were mostly down-regulated. The biological assays allowed validation of the proteomic results, evidencing damage to the cell surface, generation of reactive oxygen species and decrease in mitochondrial membrane potential. The results provide information to begin to unlock the understanding of the complex antifungal mode of action of the R-1-R peptide, its combination with the extract, and possibly other derivatives of natural products.

1627 Global export shipment records of R Tyre with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

R-SCRIPT and EXAMPLE DATA to extract incubation from nest temperature measurements as described in

“Biparental incubation patterns in a high Arctic-breeding shorebird: how do pairs divide their duties?”by M. Bulla, M. Valcu, A. L. Rutten, and B. Kempenaerspublished in Behavioral Ecology, doi:10.1093/beheco/art098.

The R-script- is optimized for data sets with per 5 seconds temperature readings (example data: 5s.txt) as well as for data sets with per 2 minutes temperature readings (artificially spread to each 5 second; example data: 2m.txt)- runs with R (Version 2.15.13) and package zoo (Version 1.7-10) Data collection and how the individual variables and threshold values were derived is described in the paper and its supplementaries.

Example data sets are available as 2 text files (values are separated by semi-colon ).Both data set contain of following variables: nest (unique identity of the nest), datetime_ (date and time of the sampled datapoint), t_nest (nest incubation temperature in °C), t_ambient (tundra temperature next to the nest in °C).

WHEN USING THIS R-SCRIPT OR DATA, PLEACE CITE THE ORIGINAL PUBLICATION: Bulla M, Valcu M, Rutten AL, Kempenaers B (2014) Biparental incubation patterns in a high Arctic-breeding shorebird: how do pairs divide their duties? Behavioral Ecology 25(1): 152-164. doi:10.1093/beheco/art098 ADDITIONALLY, PLEASE CITE THE FIGSHARE.COM R-SCRIPT and DATA: Bulla M.R-SCRIPT and EXAMPLE DATA to extract incubation from temperature measurements. figshare.comAvailable at: http://figshare.com/articles/R_SCRIPT_and_EXAMPLE_DATA_to_extract_incubation_from_temperature_measurements/1037545

The R-SCRIPT shows how to extract incubation bouts (i.e., the time between the arrival of a parent and its departure from the nest followed by incubation by its partner) from instantaneous continusou RFID data and from video data scored for start and end of an event on the nest (be it incubation, feeding, exchange, etc.). The RFID DATA were collected by M. Bulla & B. Kempenaers in 2012 and the VIDEO DATA by K. Weidinger 2009 and scored by M. Sladecek.

The two EXAMPLE DATA sets are available as two text files.# Values are separated by semi-colon.# Missing values are NA.# For better readability the subsections of the script can be collapsed

The following script runs with R (Version 3.1.1) and package plyr (Version 1.8.1)

Questions can be directed to: Martin Bulla (bulla.mar@gmail.com)#--------------------------------------------------------------------------------------------------------

WHEN USING THIS R-SCRIPT OR DATA, PLEASE CITE:

Bulla M (2015). R-SCRIPT and EXAMPLE DATA to extract incubation bouts from continuous RFID and video data. figshare. http://dx.doi.org/10.6084/m9.figshare.1533278. Retrieved add datetime.

R Proc Inc Company Export Import Records. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

This item contains the auxiliary material for publication A Database for Global Conditions, each of which is described below.

EEZ_shapefile.zip: Exclusive economic zones shapefile and supporting files used in the study.

For R users, the EEZ_borders.RDS file can be downloaded and loaded directly into R as the shapefile for the exclusive economic zones

This item also includes two R scripts, main_code.R and supporting_functions.R, to recreate the data found in this repository. Script has been well documented and should guide the user on how to use and run. Both of the scripts are necessary for recreating the study.

Also included in this repository, an R script to guide you through how to extract data from Figshare, specifically for this repository, to your computer directly from R. Can also be found at https://rpubs.com/mcastan2/DGCC_auxiliary_material with the rest of the auxiliary material.

Review publication for a more detailed data description.

R Mixed Fzco Company Export Import Records. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Global trade data of R under 39069099, 39069099 global trade data, trade data of R from 80+ Countries.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

286 Global export shipment records of R Human with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

12051 Global export shipment records of R Diesel Engine with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Eximpedia Export import trade data lets you search trade data and active Exporters, Importers, Buyers, Suppliers, manufacturers exporters from over 209 countries

Global trade data of R under 84719010, 84719010 global trade data, trade data of R from 80+ Countries.

Global trade data of R under 90183990, 90183990 global trade data, trade data of R from 80+ Countries.