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\"Closely examine website scraping and data processing: the technique of extracting data from websites in a format suitable for further analysis. You'll review which tools to use, and compare their features and efficiency. Focusing on BeautifulSoup4 and Scrapy, this concise, focused book highlights common problems and suggests solutions that readers can implement on their own. Website Scraping with Python starts by introducing and installing the scraping tools and explaining the features of the full application that readers will build throughout the book. You'll see how to use BeautifulSoup4 and Scrapy individually or together to achieve the desired results. Because many sites use JavaScript, you'll also employ Selenium with a browser emulator to render these sites and make them ready for scraping. By the end of this book, you'll have a complete scraping application to use and rewrite to suit your needs. As a bonus, the author shows you options of how to deploy your spiders into the Cloud to leverage your computer from long-running scraping tasks\"--Back cover.

[This corrects the article DOI: 10.1371/journal.pone.0207935.].

In 2019, the dominant greenhouse gases released into Earth’s atmosphere continued to increase. The annual global average carbon dioxide concentration at Earth’s surface was 409.8 ± 0.1 ppm, an increase of 2.5 ± 0.1 ppm over 2018, and the highest in the modern instrumental record and in ice core records dating back 800 000 years. Combined, greenhouse gases and several halogenated gases contributed 3.14 W m−2 to radiative forcing, representing a 45% increase since 1990. Carbon dioxide is responsible for about 65% of this radiative forcing. The annual net global uptake of ∼2.4 billion metric tons of carbon dioxide by oceans was the highest in the record dating to 1982 and 33% higher than the 1997–2017 average. A weak El Niño at the beginning of 2019 transitioned to ENSO-neutral conditions by mid-year. Even so, the annual global surface temperature across land and oceans was still among the three highest in records dating to the mid- to late 1800s. July 2019 was Earth’s hottest month on record. Well over a dozen countries across Africa, Europe, Asia, Australia, and the Caribbean reported record high annual temperatures. In North America, Alaska experienced its warmest year on record, while the high northern latitudes that encompass the Arctic were second warmest, behind only 2016. Stations in several countries, including Vietnam, the Netherlands, Belgium, Luxembourg, France, and the United Kingdom, set new all-time daily high temperature records for their nations. Australia set a new nationally averaged daily maximum temperature record of 41.9°C on 18 December, breaking the previous record set in 2013 by 1.6°C. Daily temperatures surpassed 40°C for the first time in Belgium and the Netherlands. Lake temperatures increased on average across the globe in 2019; observed lakes in the Northern Hemisphere were covered in ice seven days fewer than the 1981–2010 average, according to phenological indicators. Over land, the growing season was an average of eight days longer than the 2000–10 average in the NH. Above Earth’s surface, the annual lower troposphere temperature was third highest to record high, and the lower stratosphere temperature was third lowest to record low, depending on the dataset analyzed. Middle- and upper-stratospheric temperatures were lowest on record since satellite records began in 1979. In September, Antarctica experienced a dramatic upper-atmosphere warming event that led to the smallest ozone hole since the early 1980s. Below-average Antarctic sea ice extent persisted throughout 2019, continuing a trend that began in September 2016. Net sea ice extent was below the 1981–2010 average for all days of the year, and January and June each set a new low monthly mean sea ice extent record. The Antarctic ice sheet continued to lose mass, with the highest rates of loss occurring in West Antarctica and Wilkes Land, East Antarctica. Across the cryosphere, alpine glaciers continued to lose mass for the 32nd consecutive year. Permafrost temperatures in the European Alps were slightly below the record temperatures measured in 2015, while record high permafrost temperatures were observed at a majority of the observation sites across the high northern latitudes. For the first time in the observational record at 26 sites in interior Alaska and the Seward Peninsula, the active layer did not freeze completely, a result of long-term permafrost warming and back-to-back relatively mild and snowy winters. In March, when Arctic sea ice reached its annual maximum extent, thin, first-year ice comprised ∼77% of all ice, compared to about 55% in the 1980s. In September, the minimum sea ice extent tied for the second smallest extent in the 41-year satellite record. In the Bering Sea, increasing ocean temperatures and reduced sea ice—which was the lowest on record there for the second consecutive winter—are leading to shifts in fish distributions within some of the most valuable fisheries in the world. Larger and more abundant boreal species, as opposed to smaller and less abundant Arctic species, dominated a large portion of the Arctic shelf in 2018 and 2019. During the 2019 melt season, the extent and magnitude of ice loss over the Greenland ice sheet rivaled 2012, the previous year of record ice loss. Melting of glaciers and ice sheets, along with warming oceans, account for the trend in rising global mean sea level. In 2019, global mean sea level set a new record for the eighth consecutive year, reaching 87.6 mm above the 1993 average when satellite measurements began, with an annual average increase of 6.1 mm from 2018. Ocean heat content measured to 700 m depth was record high, and the globally averaged sea surface temperature was the second highest on record, surpassed only by the record El Niño year of 2016. In October, the Indian Ocean dipole exhibited its greatest magnitude since 1997, associated with dramatic upper ocean warming in the western Indian Ocean basin. While ENSO conditions during 2019 appeared to have limited impacts, many climate events were influenced by the strong positive IOD, which contributed to a large rainfall deficit from the eastern Indian Ocean to the South Pacific Ocean east of Australia. Record heat and dryness in Australia intensified drought conditions already in place following below-average rainfall in 2017 and 2018, leading to severe impacts during late austral spring and summer, including catastrophic wildfires. Smoke from these wildfires, along with the volcanic eruptions of Raikoke (Russia) and Ulawun (Papua New Guinea), helped load the stratosphere with aerosol levels unprecedented since the post-Mt. Pinatubo era of the early 1990s. Indonesia also suffered severe drought and extreme wildfires toward the end of 2019; no rainfall was observed in the East Sumba District of the East Nusa Tenggara Province for 263 days. Conversely, the positive IOD also contributed to excess rainfall over the Horn of Africa from August through December, resulting in widespread flooding across East Africa. Elsewhere, India experienced one of its heaviest summer monsoon rains since 1995 despite a delayed and suppressed monsoon during June. In the United States, rapid snowmelt in the spring, as well as heavy and frequent precipitation in the first half of the year, contributed to extensive flooding in the Midwest throughout spring and summer, notably the Mississippi and Missouri basins. Dry conditions persisted over large parts of western South Africa, in some locations having continued for approximately seven years. Antecedent dry conditions and extreme summer heat waves pushed most of Europe into extreme drought. Due in part to precipitation deficits during December 2018 to January 2019—the peak of the rainy season—wildfires scorched vast areas of the southern Amazonian forests in Bolivia, Brazil, and Peru, as well as in northern Paraguay, later in 2019. Millions of trees and animals perished, with some local extinctions reported. In Siberia, fire activity during the summer was both strong and farther north than usual. This led to a new record of 27 teragrams (1012 g) of carbon emitted from fires in the Arctic, which was more than twice as high than in any preceding year. Closer to the equator, 96 named tropical storms were observed during the Northern and Southern Hemisphere storm seasons, well above the 1981–2010 average of 82. Five tropical cyclones reached Saffir–Simpson scale Category 5 intensity. In the North Atlantic basin, Hurricane Dorian caused unprecedented and tremendous devastation, with over 70 fatalities and damages totaling $3.4 billion (U.S. dollars) in The Bahamas. Tropical Cyclones Idai and Kenneth severely impacted southeastern Africa in March and April, respectively. Idai resulted in total damages of at least $2.2 billion (U.S. dollars), the costliest storm on record for the South Indian Ocean basin, as well as the deadliest with over 1200 fatalities across Mozambique, Zimbabwe, Malawi, and Madagascar.

Editors note: For easy download the posted pdf of the State of the Climate in 2020 is a very low-resolution file. A high-resolution copy of the report is available by clicking here . Please be patient as it may take a few minutes for the high-resolution file to download.

Karos2/47 adult woman with Europo-Mongoloid features. https://doi.org/10.1371/journal.pone.0208295.g001 thumbnail Download: * PPT PowerPoint slide * PNG larger image * TIFF original image Fig 3. Origin of modern individuals with closest matches to Conqueror sequences are listed next to the indicated regions, ordered according to the frequency of appearances. https://doi.org/10.1371/journal.pone.0208295.g002 thumbnail Download: * PPT PowerPoint slide * PNG larger image * TIFF original image Fig 4. Abbreviations of population names are given in S3B Table. https://doi.org/10.1371/journal.pone.0208295.g004 thumbnail Download: * PPT PowerPoint slide * PNG larger image * TIFF original image Fig 6.

Illegally downloading music through peer-topeer networks has persisted in spite of legal action to deter the behavior. This study examines the individual characteristics of downloaders which could explain why they are not dissuaded by messages that downloading is illegal. We compared downloaders to non-downloaders and examined whether downloaders were characterized by less ethical concern, engagement in illegal behavior, and a propensity toward stealing a CD from a music store under varying levels of risk. We also examined whether downloading or individual characteristics of downloaders were similar for men and women. Findings revealed downloading was prevalent (74.5% of the student sample downloaded), men and women were equally likely to download and the factors characterizing downloading were similar for men and women. The comparison between downloaders and nondownloaders revealed downloaders were less concerned with the law, demonstrated by less ethical concern and engagement in other illegal behaviors. Downloaders were also more likely to indicate that they would steal a CD when there was no risk of being caught. Given these results, messages regarding illegality are unlikely to perturb downloaders and alternative recommendations are offered for targeting illegal downloading.

Editors note: For easy download the posted pdf of the State of the Climate in 2022 is a low-resolution file. A high-resolution copy of the report is available by clicking here . Please be patient as it may take a few minutes for the high-resolution file to download.

Jupyter is a free, open-source, interactive web tool known as a computational notebook, which researchers can use to combine software code, computational output, explanatory text and multimedia resources in a single document. In part, says Pérez, that growth is due to improvements in the web software that drives applications such as Gmail and Google Docs; the maturation of scientific Python and data science; and, especially, the ease with which notebooks facilitate access to remote data that might otherwise be impractical to download - such as from the LSST. The result, says Jupyter co-creator Brian Granger at California Polytechnic State University in San Luis Obispo, is a \"computational narrative\" - a document that allows researchers to supplement their code and data with analysis, hypotheses and conjecture. Whereas the standard Jupyter notebook assigns each notebook its own kernel, JupyterLab creates a computing environment that allows these components to be shared. [...]a user could view a notebook in one window, edit a required data file in another, and log all executed commands in a third - all within a single web-browser interface.

Big, time-scaled phylogenies are fundamental to connecting evolutionary processes to modern biodiversity patterns. Yet inferring reliable phylogenetic trees for thousands of species involves numerous trade-offs that have limited their utility to comparative biologists. To establish a robust evolutionary timescale for all approximately 6,000 living species of mammals, we developed credible sets of trees that capture root-to-tip uncertainty in topology and divergence times. Our \"backbone-and-patch\" approach to tree building applies a newly assembled 31-gene supermatrix to two levels of Bayesian inference: (1) backbone relationships and ages among major lineages, using fossil node or tip dating, and (2) species-level \"patch\" phylogenies with nonoverlapping in-groups that each correspond to one representative lineage in the backbone. Species unsampled for DNA are either excluded (\"DNA-only\" trees) or imputed within taxonomic constraints using branch lengths drawn from local birth-death models (\"completed\" trees). Joining time-scaled patches to backbones results in species-level trees of extant Mammalia with all branches estimated under the same modeling framework, thereby facilitating rate comparisons among lineages as disparate as marsupials and placentals. We compare our phylogenetic trees to previous estimates of mammal-wide phylogeny and divergence times, finding that (1) node ages are broadly concordant among studies, and (2) recent (tip-level) rates of speciation are estimated more accurately in our study than in previous \"supertree\" approaches, in which unresolved nodes led to branch-length artifacts. Credible sets of mammalian phylogenetic history are now available for download at http://vertlife.org/phylosubsets, enabling investigations of long-standing questions in comparative biology.

Species distribution modeling is a valuable tool with many applications across ecology and evolutionary biology. The selection of biologically meaningful environmental variables that determine relative habitat suitability is a crucial aspect of the modeling pipeline. The 19 bioclimatic variables from WorldClim are frequently employed, primarily because they are easily accessible and available globally for past, present and future climate scenarios. Yet, the availability of relatively few other comparable environmental datasets potentially limits our ability to select appropriate variables that will most successfully characterize a species’ distribution. We identified a set of 16 climatic and two topographic variables in the literature, which we call the ENVIREM dataset, many of which are likely to have direct relevance to ecological or physiological processes determining species distributions. We generated this set of variables at the same resolutions as WorldClim, for the present, mid-Holocene, and Last Glacial Maximum (LGM). For 20 North American vertebrate species, we then assessed whether including the ENVIREM variables led to improved species distribution models compared to models using only the existing WorldClim variables. We found that including the ENVIREM dataset in the pool of variables to select from led to substantial improvements in niche modeling performance in 13 out of 20 species. We also show that, when comparing models constructed with different environmental variables, differences in projected distributions were often greater in the LGM than in the present. These variables are worth consideration in species distribution modeling applications, especially as many of the variables have direct links to processes important for species ecology. We provide these variables for download at multiple resolutions and for several time periods at envirem.github.io. Furthermore, we have written the ‘envirem’ R package to facilitate the generation of these variables from other input datasets.