Summary:

Includes building of table with all keywords, with a speedup from refactoring how the table is constructed.

Summary: NEWS Versioning

Releases will be numbered with the following semantic versioning format:

<major>.<minor>.<patch>

And constructed with the following guidelines:

• Breaking backward compatibility bumps the major (and resets the minor and patch)
• New additions without breaking backward compatibility bumps the minor (and resets the patch)
• Bug fixes and misc. changes bumps the patch

CHANGES IN qdap VERSION 2.2.0

BUG FIXES

• bag_o_words did not make use of the bag_o_words2 helper function that has finer grained control of the output. ... were ignored but now are respected.

• fry threw an error if a group contained < 300 words but had enough text to generate 2 texts chunks of 100 words each, caught by S. Enrico P. Indiogine. The bug has been fixed as these groups are dropped and a warning given.

• phrase_net threw an error caused by dplyr's (0.3) approach to subsetting columns. Proviously a vector was returned, now a tbl_df object is returned: https://github.com/hadley/dplyr/issues/587. This was adtreeded by using explicit df[[index]] rather than df[, index].

NEW FEATURES

• chunker added to break text, optionally by grouping variables, into equal chunks. The chunk size can be specified by giving number of words to be in each chunk or the number of chunks.

IMPROVEMENTS

all_words gains char.keep and char2space arguments to enable retention of characters and multi word phrases. These features are passed to freq_terms as well. Suggestd by stackoverflow's lawyeR (http://stackoverflow.com/a/26162401/1000343).

CHANGES

• rm_url has been moved into its own canned regex pattern extraction/replacer package named qdapRegex.

• name2sex now uses the gender package to predict sex. This makes the function slightly slower but much more accurate than previous versions.
  Because of this increased accuracy and dependence on gender, the arguments pred.sex, fuzzy.match, and database are no longer necessary and have been removed.

CHANGES IN qdap VERSION 2.1.1

BUG FIXES

• syllable_count returned the sentence (recycled) in the words column of the output. This behavior has been fixed. See GitHub issue #188 for details.

• syn returned antonyms for some words. This was caused by the dictionary: qdapDictionaries::key.syn contained antonyms and elemets the were error messages (character). This has been fixed. Reference issue #190. (Jingjing Zou)

• The pres_debates2012 data set contained three errors in speech attribution. This has been corrected and the turn of talk (tot) as well.

• word_stats would throw an error if no poly-syllable words existed. This has been corrected (reported by Nicolas Turenne).

NEW FEATURES

• qdap_df and %&% added to mimic some of the functionality of dplyr's tbl_df and chaining pipe in a more specific, less flexible, qdap oriented way.

• Text added to view and change the text.var attribute of a data.frame of the classqdap_df`.

• cumulative generic method added to view cumulative scores over time.

• formality picks up a cumulative method.

• polarity picks up a cumulative method.

• end_mark picks up a class (end_mark), plot method, and a cumulative method.

• syllable_sum, polysyllable_sum, and combo_syllable_sum pick up a class, plot method, and a cumulative method.

• wfm becomes a generic method currently applied to a text.var that is: character, factor (coerced to character), or wfdf.

• unbag added as a compliment to bag_o_words and friends for undoing string splitting. A convenience wrapper for paste(collapse = " ").

• as.Corpus.TermDocumentMatrix, as.Corpus.DocumentTermMatrix, and as.Corpus.wfm added to convert a matrix format to a tm::Corpus.

• exclude becomes a generic method for various classes. Functionality is the same but with improved code readability.

• check_spelling_interactive, check_spelling, which_misspelled, and correct allow the user to identify potentially misspelled words and optionally suggest replacements.

• random_data & random_sent added to generate random sentence data sets and vectors.

• comma_spacer added to ensure strings with commas contain a space after them.

• check_text added to identify potential problems in text.

• replace_ordinal added to convert ordinal representations of 1 through 100 to strictly ordinal text (e.g., "1st" becomes "first").

• A vignette: Cleaning Text & Debugging was added to assist users with cleaning and debugging problems in qdap.

• pronoun_type, and subject_pronoun_type, object_pronoun_type added to examine usage of subject/object pronouns by grouping variable.

MINOR FEATURES

• dplyr's chaining pipe imported for convenience. See http://www.rdocumentation.org/packages/magrittr/functions/magrittr for details.

IMPROVEMENTS

• wfm gains a speedup through generic classes and tm package integration (strip is no longer used in wfm).

• as.tdm.character and as.dtm.character gain a speed boost with a tm package integration.

• Added message to as.data.frame.Corpus for missing end-marks suggesting the use of: sent.split = FALSE.

• as.Corpus familiy of functions didn't necessarily respect document names and sometimes used numeric sequence instead. The introduction of a reader via tm::readTabular has fixed this.

• sentSplit now gives warnings for text that may contain anomalies such as: non-ASCII characters, factors, missing punctuation, empty cells, and no alphabetic characters found.

• read.transcript now gives a warning when reading from a .docx file and the separator (sep) used is still found in the text as this may indicate the data did not split correctly.

• dispersion_plot now takes a named list of vectors of terms as the argument to match.terms. The vectors are combined as a unified theme named with the names of the list supplied to match.terms.

CHANGES

• as.data.frame.Corpus's default value for sent.split is now FALSE.

• The state column in the qdap::DATA2 data-set is now character (previously factor).

CHANGES IN qdap VERSION 2.1.0

BUG FIXES

• new_project did not copy the .Rprofile over into the new project. This has been fixed. Reference issue #184.

• sentiment_frame coerced words to factor. stringsAsFactors = FALSE has been added to prevent this.

• polarity did not work on > 1 grams due to a bug in sentiment_frame converting character to factor (thanks for the find @chewth). See GitHub issue #185 for details.

NEW FEATURES

• unique_by added to allow the user to find terms unique to individual elements of a grouping variable.

• build_qdap_vignette replaces the temporary place holder version of the Introduction to qdap vignette. This function will replace the (1) HTML, (2) source, & (3) R code found in browseVignettes(package = 'qdap').

MINOR FEATURES

• sub_holder picks up a alpha.type argument that allows the user to specify whether alpha or numeric keys should be used.

• replace_number picks up a remove argument that removes numbers from text.

IMPROVEMENTS

• qheat becomes a generic method. This means some of the internal function class checking has been moved to individual methods for those classes.
  Additionally, qheat now works with logical matrices/data.frames.

• The tm package compatibility functions have been renamed in a more R-ish way and take the form of generic methods for specific classes. For example, df2tm_corpus becomes as.Corpus. Here is a complete list of changes:

  • df2tm_courpus is now as.Corpus
  • tm_corpus2df is now as.data.frame
  • as.wfm is now a generic method
  • tm_corpus2wfm is now as.wfm
  • tm2qdap is now as.wfm
  • tdm is now as.tdm or as.TermDocumentMatrix
  • dtm is now as.dtm or as.DocumentTermMatrix

CHANGES

• colsplit2df and colpaste2df no longer convert character columns to factor.

• df2tm_corpus is deprecated. It will be removed in a subsequent version of qdap. Use as.Corpus instead.

• tm_corpus2df is deprecated. It will be removed in a subsequent version of qdap. Use as.data.frame instead.

• tm2qdap is deprecated. It will be removed in a subsequent version of qdap. Use as.wfm instead.

• tm_corpus2wfm is deprecated. It will be removed in a subsequent version of qdap. Use as.wfm instead.

• tdm is deprecated. It will be removed in a subsequent version of qdap.
  Use as.tdm or as.TermDocumentMatrix instead.

• dtm is deprecated. It will be removed in a subsequent version of qdap.
  Use as.dtm or as.DocumentTermMatrix instead.

• The Introduction to qdap .Rmd vignette has been moved to an internal directory. The HTML version is not built by default. This saves CRAN space and time checking the package source. The file has been replaced with a temporary place holder that contains instructions for building the actual vignette. The user may also use the build_qdap_vignette directly.

• qdap incorporates the changes from the tm package version: 0.6: http://cran.r-project.org/web/packages/tm/news.html Reference issue #187.

CHANGES IN qdap VERSION 2.0.0

The qdapTools package now houses several former qdap functions. While qdapTools is a Dependency and all of these functions will be accessible to the qdap user there is a break in backward compatibility if these functions are included in code. For this reason this release is a major bump of qdap.

BUG FIXES

• replace_number did not replace single digits numbers. Spotted by Ben Bolker. This behavior has been fixed and unit testing added for this function. See issue #178.

NEW FEATURES

• sub_holder added; this function holds the place for particular character values, allowing the user to manipulate the vector and then revert the place holders back to the original values.

• Network method added to make network plots of select qdap objects.

• qtheme, theme_nightheat, theme_duskheat, theme_norah,theme_cafe, theme_grayscale,theme_badkitchen, andtheme_hipsteradded to style Network` plots.

• polarity picks up a Network method.

• formality picks up a Network method.

• qdap officially begins utilizing the testthat package for unit testing, though only a few functions have begun the process, more will be added over time.

MINOR FEATURES

IMPROVEMENTS

CHANGES

• The qdapTools package now houses the following former qdap functions: hash, %ha%, hash_look, hms2sec, id, lookup, %l%, %l+%, %l*%, repo2github, sec2hms, text2color, url_dl, v_outer, list2df, matrix2df, vect2df, list_df2df, list_vect2df, counts2list,
  vect2list, & mtabulate. These functions will continue to be available to qdap users in interactive mode (qdapTools is a Dependency and thus these functions are loaded into the workspace by default). This will allow this bundle of functions to be used outside of qdap without calling the larger qdap package per the request of Kirill Muller (see issue #165).

• As scheduled the dissimilarity function has been removed from the qdap package to avoid conflict with the tm package. Use Dissimilarity function instead.

CHANGES IN qdap VERSION 1.3.6

MINOR FEATURES

• polarity picks up a constrain argument that constrains the polarity values to be between -1 and 1.

IMPROVEMENTS

• polarity's equation now uses primes on the de-amplifiers before they're confined to be >= -1. This avoids confusion in the indicator function that took the de-amplifiers variable and returned the same variable.

• dist_tab's frequency columns used a capital F in Freq. This was not consistent across all column names and has been changed to lower case.

CHANGES

• polarity_frame is deprecated and will be removed in a subsequent release. Please use sentiment_frame instead.

CHANGES IN qdap VERSION 1.3.5

BUG FIXES

• The An Introduction to qdap vignette contained a broken link in the tm Package Compatibility section. This has been fixed. Also the reliance on Rgraphviz from the vignette has been removed. This will eliminate CRAN WARN in CRAN checks (for some OS) but not the note for tm's reliance on Rgraphviz.

• polarity reported the incorrect number of words for sentences containing commas. This has been fixed (Max Ghenis).

NEW FEATURES

• formality picks up an Animate method.

• end_mark_by function added as a aggregated grouping version of end_mark.

MINOR FEATURES

• raj.act.1POS added. raj.act.1POS is a data set for Romeo and Juliet: Act 1 broken into parts of speech.

IMPROVEMENTS

• discourse_map picks up a pause argument that enables the user to pause between plots in interactive mode.

CHANGES

CHANGES IN qdap VERSION 1.3.4

BUG FIXES

NEW FEATURES

• gantt and gantt_wrap (single facet) pick up and Animate method.

• polarity picks up an Animate method.

• vertex_apply and edge apply added to make uniform changes to lists of igraph objects.

MINOR FEATURES

IMPROVEMENTS

• discourse_map picks up a condense argument that allows the user to condense sequential rows for like grouping variable sub groups.

• list_df2df names now use a zero padded numeric portion for default names.
  For example c("L1", "L2", "L3", ... "L10"), becomes c("L01", "L02", "L03", ... "L10").

CHANGES

CHANGES IN qdap VERSION 1.3.3

BUG FIXES

• colpaste2df dropped the column name for a single retained column when keep.orig = FALSE. See GitHub issue #157 for more.

• multigsub (mgsub) would return NA for replacement of length 1 after the addition of the order.pattern (used to prevent substrings from replacing meta-strings) in version 1.3.2.

NEW FEATURES

• phrase_net function provides functioning similar to the Many Eyes Phrase Net plot.

• discourse_map function provides a network mapping of the flow of discourse between social actors. Function output is Animate ready as well. See ?discourse_map and http://trinker.github.io/qdap_examples/animation_dialogue for more.

• Animate function added to convert select qdap outputs to an animated
  sequence. See ?Animate.discourse_map for more.

MINOR FEATURES

• synonyms_fr

Summary: This dataset is a sample log of samples collected by ROV Jason II at the 9ºN deep-sea hydrothermal vent field on the East Pacific Rise, Pacific Ocean, January 2014. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/559780

Summary: What's Changed

• Ammonia and dcop fitter. by @IgorPetra in https://github.com/pyspeckit/pyspeckit/pull/345
• Updated NH2D model by @jpinedaf in https://github.com/pyspeckit/pyspeckit/pull/350
• Fix for issue 351 by @keflavich in https://github.com/pyspeckit/pyspeckit/pull/352
• Fix for lte_molecule optical depth in #353 by @keflavich in https://github.com/pyspeckit/pyspeckit/pull/354
• LTE molecule example by @keflavich in https://github.com/pyspeckit/pyspeckit/pull/356
• Changed install command in docs for installing via GitHub by @abulatek in https://github.com/pyspeckit/pyspeckit/pull/358
• Radiative Transfer fixes for the LTE molecule by @keflavich in https://github.com/pyspeckit/pyspeckit/pull/359
• Fix some syntax issues that raise warnings by @keflavich in https://github.com/pyspeckit/pyspeckit/pull/355

New Contributors

• @abulatek made their first contribution in https://github.com/pyspeckit/pyspeckit/pull/358

Full Changelog: https://github.com/pyspeckit/pyspeckit/compare/v0.1.24...v0.1.25

Summary: Python Spectroscopic Toolkit

Summary:

This dataset includes 663 predictor grids used for k-NN global prediction of seafloor total organic carbon.

663 predictor grids available in netCDF4 HDF5 file format. Grids are cell-centered sized 4320 x 2160. File names adhere to the naming conventions discussed below. The naming structure is partioned by underscores and periods in the following order: interface to which the gridded values refer to, quantity of values contained within the grid, units and reference values/units (e.g. meters below sea level), data source, statistic calculated (if applicable), grid pitch, and file extension.

Possible interfaces from the top – down:

SS – Sea surface – atmosphere interface (may also be average of the entire water column)

SF – Seafloor – water interface (may also be denoted by GL)

GL   – Ground level (e.g. bottom of pure liquid, top of dirt)

SC – Sediment – crust interface (e.g. sediment above, igneous/metamorphic below)

CM – Crust – mantle interface (e.g. Mohorovicic discontinuity)

Appropriate reference naming marker (bold), original data source, and date of last access:

Becker

Becker, J. J., Wood, W. T., & Martin, K. M. (2014). Global crustal heat flow using random decision forest prediction, Abstract NG31A-3788 presented at 2014 Fall Meeting, AGU, San Francisco, California, U.S.A. Last access: 06/23/2015.

CRUST1 

Pasyanos, M.E., Masters, G., Laske, G. & Ma, Z. (2012). LITHO1.0 - An Updated Crust and Lithospheric Model of the Earth Developed Using Multiple Data Constraints, Abstract T11D-09 presented at 2012 Fall Meeting, AGU, San Francisco, California, U.S.A. Last access: 07/01/2014.

CRUST1_NOAA

 As the NOAA sediment thickness database is globally not complete, data gaps in the NOAA grid with this have been supplemented by the CRUST1 sediment thickness (see above citation).

Whittaker, J., Goncharov, A., Williams, S., Müller, R. D., & Leitchenkov, G. (2013) Global sediment thickness dataset updated for the Australian-Antarctic Southern Ocean, Geochemistry, Geophysics, Geosystems. https://doi.org/10.1002/ggge.2018. Last access:  09/02/2018.

GVP

Global Volcanism Program (2013) Volcanoes of the World. In E. Venzke (ed.). (Vol. 4.7.3).  Smithsonian Institution. https://doi.org/10.5479/si.GVP.VOTW4-2013. Last access: 09/22/2014.

ETOPO2v2

National Geophysical Data Center (2006). 2-minute Gridded Global Relief Data (ETOPO2) v2. National Geophysical Data Center, NOAA. DOI: 10.7289/V5J1012Q. Last access: 02/06/2013.

PLATES

Coffin, M.F., Gahagan, L.M., & Lawver, L.A. (1998). Present-day Plate Boundary Digital Data Compilation. University of Texas Institute for Geophysics Technical Report (No. 174, pp. 5). Last access: 09/15/2014.

ONRL

Ludwig,W., Amiotte-Suchet, P., & Probst, J. L. (2011). ISLSCP II Global River Fluxes of Carbon and Sediments to the Oceans. In F. G. Hall, G. Collatz, B. Meeson, S. Los, E. Brown de Colstoun, and D. Landis (Eds.), ISLSCP Initiative II Collection. Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A. http://dx.doi.org/10.3334/ORNLDAAC/1028. Last Access: 02/15/2015.

Muller

Müller, R. D., Sdrolias, M., Gaina, C., & Roest, W. R. (2008). Age, spreading rates, and spreading asymmetry of the world’s ocean crust, Geochemistry, Geophysics, Geosystems, 9(4), Q04006. https://doi.org/10.1029/2007GC001743. Last accessed: 07/19/2011.

Woa13x

Boyer, T.P., Antonov, J. I., Baranova, O. K., Coleman, C., Garcia, H. E., Grodsky, A., et al. (2013) World Ocean Database 2013. In  S. Levitus, A. Mishonov (Ed.), NOAA Atlas NESDIS 72, Technical Ed. Silver Spring, MD. http://doi.org/10.7289/V5NZ85MT. Last Access: 09/18/2014.

KIM

Kim, S.S. & Wessel, P. (2011). New global seamount census from the altimetry-derived gravity data, Geophysical Journal International, 186, 615-631. https://doi.org/10.1111/j.1365-246X.2011.05076.x.  Last access: 09/22/2014.

HYCOM

The 1/12 deg global HYCOM+NCODA Ocean Reanalysis was funded by the U.S. Navy and the Modeling and Simulation Coordination Office. Computer time was made available by the DoD High Performance Computing Modernization Program. The output is publicly available at https://hycom.org/publications/acknowledgements/ocean-reanalysis-data.Last access: 03/19/2014.

NCEDC

NCEDC (2016). Northern California Earthquake Data Center. UC Berkeley Seismological Laboratory. Dataset. doi:10.7932/NCEDC. Last access: 09/21/2014.

Wei2010

Wei, C.-L., Rowe, G. T., Escobar-Briones, E., Boetius, A., Soltwedel, T., Caley, M. J., et al.(2010). Global patterns and predictions of seafloor biomass using random forests. PLoS ONE,5(12), e15323. https://doi.org/10.1371/journal.pone.0015323 Last access: 06/20/2016.

NGA_egm2008

Pavlis, N.K., Holmes, S. A., Kenyon, S. C., & Factor, J. K. (2008). The EGM2008 Global Gravitational Model, Abstract 2008AGUFM.G22A..01P presented at the 2008 General Assembly of the European Geosciences Union, Vienna, Austria. Last access: 07/10/2014.

WAVEWATCH3

The 1/12 deg global HYCOM+NCODA Ocean Reanalysis was funded by the U.S. Navy and the Modeling and Simulation Coordination Office. Computer time was made available by the DoD High Performance Computing Modernization Program. The output is publicly available at https://hycom.org/publications/acknowledgements/ocean-reanalysis-data. Last access: 03/19/2014.

Updated global seafloor porosity grid using our k-nearest neighbors algorithm using 5 nearest neighbors. Observed data used for prediction from Martin et al. (2015). 

Martin, K. M., Wood, W. T., & Becker, J. J. (2015). A global prediction of seafloor sediment porosity using machine learning. Geophysical Research Letters, 42(24), 10640. https://doi.org/10.1002/2015GL065279

Other grids which have been generated by empirical means are latitude (and derivatives), longitude (and derivatives), Coriolis, coast_is_1.0, and the random noise grids. 

Units referenced are as follows:

KGM3 - kilogram per cubic meter
MS - meters per second
KM - kilometer
M_ASL - meters above sea level (i.e. meters referenced to sea level)
MWM2 - milliwatt per square meter
TGCYR - terragram of carbon per year
TGYR - terragram per year
MA - megaannum
M - meters
MGCM2 - milligram of carbon per square meter
DEG - degree
S - seconds

Statistics grids are calculated within a given radius (e.g. 10km, 50km, 125km, 250km, 500km, 1000km) of the respective cell-centered value. The statistics grids include mean (.men), average absolute deviation from the mean (.aad), and the common logarithm (.log) of the absolute value of the mean (.mlg). Additionally, some grids are a weighted count for given radii (e.g. seamounts) where weight is a cosine taper from the center of the grid cell. 

The grid pitch for this dataset is uniformly at 5-arc minute denoted by “.5m”. Additionally, the extension used (netCDF4) is denoted by “.nc”.

Summary: No description provided.

Summary:

After sitting in v0.x for a decade, it's time to move to v1.0.0, and with it, semver.

What's Changed

• fix link in README by @erwanp in https://github.com/pyspeckit/pyspeckit/pull/360
• docstring update, fix latex in equations by @erwanp in https://github.com/pyspeckit/pyspeckit/pull/361
• add known orcid links by @vlas-sokolov in https://github.com/pyspeckit/pyspeckit/pull/363
• Create CITATION.cff by @keflavich in https://github.com/pyspeckit/pyspeckit/pull/362

New Contributors

• @erwanp made their first contribution in https://github.com/pyspeckit/pyspeckit/pull/360

Full Changelog: https://github.com/pyspeckit/pyspeckit/compare/v0.1.25...v1.0.0

Summary: Python Spectroscopic Toolkit

Summary: Observing scripts and logs from the 2013-2014 APEX survey of 218 GHz H2CO in the CMZ

Summary: No description provided.

Summary: Settlement events and survivorship of six bar wrasse cohorts in the lagoons surrounding the island of Moorea, French Polynesia from 1996-1997. Fieldwork was conducted in the lagoons surrounding the island of Moorea, French Polynesia and focused on the six bar wrasse (Thalassoma hardwicke). Researchers made 480 observations of settlement events (i.e., pulses of settlement to individual sites) and monitored survivorship of six bar wrasse cohorts formed by these events. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/727143

Summary: These data support Figures S3B in supplementary material and show the size (cm) of Porites astreoides in the first 18 quadrats of the transect at St. John, VI from 2000 to 2019. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/843323

Summary: These data describe the density of juvenile colonies on natural substratum as well as the density of coral recruits on settlement tiles as a function of survey year (1994-2018) and site at St. John, VI from 1994 to 2019. Juvenile colonies refers to colonies of Porites spp. that were ≤ 4 cm diameter and were scored in 0.5 x 0.5 m quadrats by eye while on scuba. Recruits refer to individuals of Porites spp. that were found on 15 x 15 cm settlement tiles that were immersed for a year, recovered, bleached, dried, and scored for corals under a dissecting microscope. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/843296

Summary: These data support Figure 3A and show the mean percentage cover of corals and Porites astreoides at each site by year For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/843284

Summary: These data support Figure 2B, C and show the size (in cm) of colonies of Porites astreo encountered in photoquadrat (each 0.5 x 0.5 m) recorded annually in the paper and show density of Porites astreoides in quadrats that are 0.5 x 0.5 m in size. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/843259

Summary: Nutrient concentrations and microbial counts from Niskin bottle collections on R/V Atlantic Explorer A1620 in the Bermuda Atlantic Time-series Study site from Sept 2016. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/753624

Summary: Data was collected here in collaboration with the MCR-LTER group in July 2016. Dissolved organic carbon (DOC) samples were collected for us during an existing field project (Turbinaria tissue collections). The primary goal was to collect water from as many of ~180 Lagoon sites as possible to obtain high-resolution surface DOC dataset. This dataset includes dissolved organic carbon (DOC) measurements around the periphery of Mo'orea Island from July 26 to September 1, 2016. Samples were taken at 1-meter depth. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/720234

Summary: Change in denitrification due to oyster reefs from the coast of North Carolina in 2010 For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/704359

Summary: These data were compiled to better determine when the mangrove die-off began. NDVI values of 0.2 or greater correspond to live mangrove cover. These data suggest the mangrove die-off may have started in 2008 and was exacerbated in following years with some recovery in 2013. Live area was calculated by determining the area of the die-off region with NDVI values greater than 0.2. For a complete list of measurements, refer to the supplemental document 'Field_names.pdf', and a full dataset description is included in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: http://www.bco-dmo.org/dataset/720270