Summary:

distancefromforestedge_pantropics.zip - a zipped geotiff file in WGS84 coordinates whose pixel values indicate the distance in meters to the nearest forest edge as defined by: Baccini, A., Goetz, S.J., Walker, W.S., Laporte, N.T., Sun, M., Sulla-Menashe, D., Hackler, J., Beck, P.S.A., Dubayah, R., Friedl, M.A., Samanta, S., Houghton, R.A., 2012. Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps. Nature Climate Change 2, 182–185.

regression_coefficients_as_shapefile - for calculating biomass storage within 100km grid cells across the pantropics. projected spatially as an ESRI Shapefile where the methods are defined as:

method 1: Biomass= θ_1-θ_2⋅exp(-θ_3⋅Distance)

method 2: Biomass= β_0+β_1⋅ln(Distance)

method 3: Biomass = \eta_0+\eta_1 * Distance

Summary: Results of experimental field studies, in the Bahamas, Cayman Islands, and Philippines, assessing susceptibility of red lionfish (Pterois volitans) to parasitic gnathiid isopods in both native and introduced ranges in 2009-2011. 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/3889

Summary: Results of an investigation of parasite communities infecting lionfish (Pterois volitans) in their native range, Guam and the Philippines, and in their invaded range, the Bahamas and the Cayman Islands. 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/3894

Summary:

Initial release of the 6-d simulation code for low-mass stellar kinematics.

Summary:

This is the raw data behind the publication: 

The State of OA: A large-scale analysis of the prevalence and impact of Open Access articles.

Despite growing interest in Open Access (OA) to scholarly literature, there is an unmet need for large-scale, up-to-date, and reproducible studies assessing the prevalence and characteristics of OA. We address this need using oaDOI, an open online service that determines OA status for 67 million articles. We use three samples, each of 100,000 articles, to investigate OA in three populations: 1) all journal articles assigned a Crossref DOI, 2) recent journal articles indexed in Web of Science, and 3) articles viewed by users of Unpaywall, an open-source browser extension that lets users find OA articles using oaDOI. We estimate that at least 28% of the scholarly literature is OA (19M in total) and that this proportion is growing, driven particularly by growth in Gold and Hybrid. The most recent year analyzed (2015) also has the highest percentage of OA (45%). Because of this growth, and the fact that readers disproportionately access newer articles, we find that Unpaywall users encounter OA quite frequently: 47% of articles they view are OA. Notably, the most common mechanism for OA is not Gold, Green, or Hybrid OA, but rather an under-discussed category we dub Bronze: articles made free-to-read on the publisher website, without an explicit Open license.  We also examine the citation impact of OA articles, corroborating the so-called open-access citation advantage: accounting for age and discipline, OA articles receive 18% more citations than average, an effect driven primarily by Green and Hybrid OA. We encourage further research using the free oaDOI service, as a way to inform OA policy and practice.

Summary:

This is the raw data behind the publication: 

The State of OA: A large-scale analysis of the prevalence and impact of Open Access articles.

Despite growing interest in Open Access (OA) to scholarly literature, there is an unmet need for large-scale, up-to-date, and reproducible studies assessing the prevalence and characteristics of OA. We address this need using oaDOI, an open online service that determines OA status for 67 million articles. We use three samples, each of 100,000 articles, to investigate OA in three populations: 1) all journal articles assigned a Crossref DOI, 2) recent journal articles indexed in Web of Science, and 3) articles viewed by users of Unpaywall, an open-source browser extension that lets users find OA articles using oaDOI. We estimate that at least 28% of the scholarly literature is OA (19M in total) and that this proportion is growing, driven particularly by growth in Gold and Hybrid. The most recent year analyzed (2015) also has the highest percentage of OA (45%). Because of this growth, and the fact that readers disproportionately access newer articles, we find that Unpaywall users encounter OA quite frequently: 47% of articles they view are OA. Notably, the most common mechanism for OA is not Gold, Green, or Hybrid OA, but rather an under-discussed category we dub Bronze: articles made free-to-read on the publisher website, without an explicit Open license.  We also examine the citation impact of OA articles, corroborating the so-called open-access citation advantage: accounting for age and discipline, OA articles receive 18% more citations than average, an effect driven primarily by Green and Hybrid OA. We encourage further research using the free oaDOI service, as a way to inform OA policy and practice.

Summary:

This is the raw data behind the publication: 

The State of OA: A large-scale analysis of the prevalence and impact of Open Access articles.

Despite growing interest in Open Access (OA) to scholarly literature, there is an unmet need for large-scale, up-to-date, and reproducible studies assessing the prevalence and characteristics of OA. We address this need using oaDOI, an open online service that determines OA status for 67 million articles. We use three samples, each of 100,000 articles, to investigate OA in three populations: 1) all journal articles assigned a Crossref DOI, 2) recent journal articles indexed in Web of Science, and 3) articles viewed by users of Unpaywall, an open-source browser extension that lets users find OA articles using oaDOI. We estimate that at least 28% of the scholarly literature is OA (19M in total) and that this proportion is growing, driven particularly by growth in Gold and Hybrid. The most recent year analyzed (2015) also has the highest percentage of OA (45%). Because of this growth, and the fact that readers disproportionately access newer articles, we find that Unpaywall users encounter OA quite frequently: 47% of articles they view are OA. Notably, the most common mechanism for OA is not Gold, Green, or Hybrid OA, but rather an under-discussed category we dub Bronze: articles made free-to-read on the publisher website, without an explicit Open license.  We also examine the citation impact of OA articles, corroborating the so-called open-access citation advantage: accounting for age and discipline, OA articles receive 18% more citations than average, an effect driven primarily by Green and Hybrid OA. We encourage further research using the free oaDOI service, as a way to inform OA policy and practice.

Summary: Database of oyster mortality based on body size treatment 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/804502

Summary: Carbonate chemistry and isotopes from nine M/S Columbus Waikato cruises between New Zealand and Long Beach, CA in the Pacific Basin from 2004-2006. This dataset includes dissolved inorganic carbon (DIC), and del13C-DIC. 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/700907

Summary: The 13C/12C stable carbon isotopic ratio of the dissolved inorganic carbon from samples collected on the GEOTRACES EPZT cruise (R/V Thomas G. Thompson TN303) in the Eastern Tropical South Pacific from October to December 2013. 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/676537

Summary:

Abstract: The mobile applications industry experiences an unprecedented high growth, developers working in this context face a fierce competition in acquiring and retaining users. They have to quickly implement new features and fix bugs, or risks losing their users to the competition. The only way for them to achieve this goal is by closely monitoring the user feedback they receive in form of reviews. However, successful apps can receive up to several thousands of reviews per day, manually analysing each of them is a time consuming task. To help developers deal with the large amount of available information, we have developed a novel approach, called URR (User Request Referencer), that is able to organise reviews according to predefined fine grained maintenance and evolution tasks (battery, performance, memory, privacy, etc.) and recommend the related source code artifacts. We evaluated our approach through an empirical study involving the reviews and code of 39 mobile applications. Our results show a high precision and recall of URR in organising reviews according to predefined maintenance and evolution tasks and recommending the source code files that need to be modified to handle the issues raised by users in their reviews. Finally, during the evaluation we discovered that using information concerning the organization of mobile software projects improves the source code localization results.

This repository provides the replication package with (i) material and working data sets of our study, (ii) complete results of the SURVEY; and (iii) rawdata for replication purposes and to support future studies. A detailed description of the contents is included in README.txt.

Summary: d13C of Dissolved Inorganic Carbon (DIC) measured on bottle cast samples from Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1815) on R/V Roger Revelle from October to November 2018 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/869611

Summary: This dataset contains C and N isotope data for individual amino acids from fossil seals from the western Ross Sea, Antarctica. 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/732078

Summary: Temperature data collected from loggers deployed at the Thalassia Experimental Network (TEN) sites in the Western Atlantic from 2018-2019. 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/784623

Summary: Compound-specific nitrogen isotopes from sperm whale skin tissue from the UC-Santa Cruz labs of P. Koch and M. McCarthy. The sperm whale skin tissue came from the California Current System from 1972 to 2005. 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/653061

Summary: This dataset includes location, weathering, bulk isotope, and 14C data for fossil seals from the western Ross Sea, Antarctica from from 2013-2014. 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/732524

Summary: This dataset includes results of cluster analysis and gene ontology: carbonate Organic Matrix (COM) proteins from coral, mollusk, and sea urchin; analyzed in the Falkowski lab at Rutgers from 2010-2014. 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/536485

Summary: The effects of Hurricane Harvey were studied. This dataset includes hydrographic measurements (temperature, salinity, oxygen, pH, refraction) from San Antonio Bay, northwest Gulf of Mexico estuaries along the Texas coast. They were taken during eleven quarterly sampling trips on a small boat, Feb. 2017 - July 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/784614

Summary:

PyGMT is a library for processing geospatial and geophysical data and making publication quality maps and figures. It provides a Pythonic interface for the Generic Mapping Tools (GMT), a command-line program widely used in the Earth Sciences.

Summary:

PyGMT is a library for processing geospatial and geophysical data and making publication quality maps and figures. It provides a Pythonic interface for the Generic Mapping Tools (GMT), a command-line program widely used in the Earth Sciences.