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1,088 results for “worldwide”
Data accompanying publication "High-Income Groups Disproportionately Contribute to Climate Extremes Worldwide."
<p>This dataset accompanies the publication "How High-Income Groups Disproportionately Contribute to Climate Extremes Worldwide." </p> <p>In our study, we combine income-based emission inequality data with an emulator-based modeling framework to thoroughly study the link between emissions of individual, wealthy emitter groups and climate extremes worldwide. Specifically, we assess individual contributions to current global temperature levels and systematically attribute changes in regional monthly heat and drought extremes across the globe.</p> <p>We focus on emissions of the top 10/1/0.1 wealthiest individuals globally and in the US, the EU27, India and China. The dataset contains results for 1-in-50/100/10'000 year extremes at grid-cell level and whenever imapcts are aggregated by region we refer to the regionmask AR6 regions. </p> <p>The file contents are the following:</p> <ol> <li>Attributed_GMT.csv: attributed global mean temperature levels by emitter group</li> <li>tas_frequency_hot.nc, spei_frequency_dry.nc, spi_frequency_dry.nc: attributed changes in the frequency of extreme events for extreme heat (tas), potential droughts (spei-3) and meteorological droughts (spi-3) on grid-cell level</li> <li>tas_intensity_hot.nc, spei_intensity_dry.nc, spi_intensity_dry.nc: attributed changes in the intensity of extreme events for extreme heat (tas), potential droughts (spei-3) and meteorological droughts (spi-3) on grid-cell level</li> <li>processed_extremes_frequency.csv: attributed changes in the frequency of extreme events aggregated to ar6 land regions </li> <li>processed_extremes_intensity.csv: attributed changes in the intensity of extreme events aggregated to ar6 land regions</li> </ol>
Worldwide Gender Differences in Public Code Contributions - Replication Package
<p><strong>Worldwide Gender Differences in Public Code Contributions - Replication Package</strong></p> <p>This document describes how to replicate the findings of the paper: Davide Rossi and Stefano Zacchiroli, 2022, <em>Worldwide Gender Differences in Public Code Contributions</em>. In Software Engineering in Society (ICSE-SEIS'22), May 21-29, 2022, Pittsburgh, PA, USA. ACM, New York, NY, USA, 12 pages. <a href="https://doi.org/10.1145/3510458.3513011">https://doi.org/10.1145/3510458.3513011</a></p> <p>This document comes with the software needed to mine and analyze the data presented in the paper.</p> <p><strong>Prerequisites</strong></p> <p>These instructions assume the use of the <a href="https://www.gnu.org/software/bash/">bash</a> shell, the <a href="https://www.python.org/">Python</a> programming language, the <a href="https://www.postgresql.org/">PosgreSQL</a> DBMS (version 11 or later), the <a href="https://facebook.github.io/zstd/">zstd</a> compression utility and various usual *nix shell utilities (cat, pv, ...), all of which are available for multiple architectures and OSs.<br> It is advisable to create a <a href="https://docs.python.org/3/tutorial/venv.html">Python virtual environment</a> and install the following PyPI packages: <code>click==8.0.3 cycler==0.10.0 gender-guesser==0.4.0 kiwisolver==1.3.2 matplotlib==3.4.3 numpy==1.21.3 pandas==1.3.4 patsy==0.5.2 Pillow==8.4.0 pyparsing==2.4.7 python-dateutil==2.8.2 pytz==2021.3 scipy==1.7.1 six==1.16.0 statsmodels==0.13.0</code></p> <p><strong>Initial data</strong></p> <ul> <li><code>swh-replica</code>, a PostgreSQL database containing a copy of Software Heritage data. The schema for the database is available at <a href="https://forge.softwareheritage.org/source/swh-storage/browse/master/swh/storage/sql/">https://forge.softwareheritage.org/source/swh-storage/browse/master/swh/storage/sql/</a>.<br> We retrieved these data from <a href="https://www.softwareheritage.org">Software Heritage</a>, in collaboration with the archive operators, taking an archive snapshot as of 2021-07-07. We cannot make these data available in full as part of the replication package due to both its volume and the presence in it of personal information such as user email addresses. However, equivalent data (stripped of email addresses) can be obtained from the Software Heritage archive dataset, as documented in the article: Antoine Pietri, Diomidis Spinellis, Stefano Zacchiroli, <em>The Software Heritage Graph Dataset: Public software development under one roof</em>. In proceedings of MSR 2019: The 16th International Conference on Mining Software Repositories, May 2019, Montreal, Canada. Pages 138-142, IEEE 2019. <a href="http://dx.doi.org/10.1109/MSR.2019.00030">http://dx.doi.org/10.1109/MSR.2019.00030</a>.<br> Once retrieved, the data can be loaded in PostgreSQL to populate <code>swh-replica</code>.</li> <li><code>names.tab</code> - forenames and surnames per country with their frequency</li> <li><code>zones.acc.tab</code> - countries/territories, timezones, population and world zones</li> <li><code>c_c.tab</code> - ccTDL entities - world zones matches</li> </ul> <p><strong>Data preparation</strong></p> <ul> <li>Export data from the <code>swh-replica</code> database to create <code>commits.csv.zst</code> and <code>authors.csv.zst</code> <code>sh> ./export.sh</code></li> <li>Run the authors cleanup script to create <code>authors--clean.csv.zst</code> <code>sh> ./cleanup.sh authors.csv.zst</code></li> <li>Filter out implausible names and create <code>authors--plausible.csv.zst</code> <code>sh> pv authors--clean.csv.zst | unzstd | ./filter_names.py 2> authors--plausible.csv.log | zstdmt > authors--plausible.csv.zst</code></li> </ul> <p><strong>Gender detection</strong></p> <ul> <li>Run the gender guessing script to create <code>author-fullnames-gender.csv.zst</code> <code>sh> pv authors--plausible.csv.zst | unzstd | ./guess_gender.py --fullname --field 2 | zstdmt > author-fullnames-gender.csv.zst</code></li> </ul> <p><strong>Database creation and data ingestion</strong></p> <ul> <li> <p>Create the PostgreSQL DB <code>sh> createdb gender-commit </code>Notice that from now on when prepending the <code>psql></code> prompt we assume the execution of psql on the <code>gender-commit</code> database.</p> </li> <li> <p>Import data into PostgreSQL DB <code>sh> ./import_data.sh</code></p> </li> </ul> <p><strong>Zone detection</strong></p> <ul> <li>Extract commits data from the DB and create <code>commits.tab</code>, that is used as input for the gender detection script<br> <code>sh> psql -f extract_commits.sql gender-commit</code></li> <li>Run the world zone detection script to create <code>commit_zones.tab.zst</code> <code>sh> pv commits.tab | ./assign_world_zone.py -a -n names.tab -p zones.acc.tab -x -w 8 | zstdmt > commit_zones.tab.zst </code>Use <code>./assign_world_zone.py --help</code> if you are interested in changing the script parameters.</li> <li>Read zones assignment data from the file into the DB<br> <code>psql> \copy commit_culture from program 'zstdcat commit_zones.tab.zst | cut -f1,6 | grep -Ev ''\s$'''</code></li> </ul> <p><strong>Extraction and graphs</strong></p> <ul> <li>Run the script to execute the queries to extract the data to plot from the DB. This creates <code>commits_tz.tab</code>, <code>authors_tz.tab</code>, <code>commits_zones.tab</code>, <code>authors_zones.tab</code>, and <code>authors_zones_1620.tab</code>.<br> Edit <code>extract_data.sql</code> if you whish to modify extraction parameters (start/end year, sampling, ...). <code>sh> ./extract_data.sh</code></li> <li>Run the script to create the graphs from all the previously extracted tabfiles. This will generate <code>commits_tzs.pdf</code>, <code>authors_tzs.pdf</code>, <code>commits_zones.pdf</code>, <code>authors_zones.pdf</code>, and <code>authors_zones_1620.pdf</code>. <code>sh> ./create_charts.sh</code></li> </ul> <p><strong>Additional graphs</strong></p> <p>This package also includes some already-made graphs</p> <ul> <li><code>authors_zones_1.pdf</code>: stacked graphs showing the ratio of female authors per world zone through the years, considering all authors with at least one commit per period</li> <li><code>authors_zones_2.pdf</code>: ditto with at least two commits per period</li> <li><code>authors_zones_10.pdf</code>: ditto with at least ten commits per period</li> </ul>
Worldwide Research and Intellectual Structure on Consumer Ethnocentrism
<p>This dataset is provided by Scopus and contains information on Consumer Ethnocentrism.</p>
Flows of invasive ants worldwide to the United States
<p>International trade and human movements have accidentally transported thousands of species worldwide at an unprecedented scale. The resulting biological invasions are among the greatest drivers of species extinctions and can cause enormous economic losses. Understanding how globalization affects the accidental transport of species is urgent to prevent new invasions. However, global trade networks have had mixed success so far in explaining intercontinental species movements. Here, we show that commonly used proxies of global trade flows such as general imports and agricultural imports differed greatly from flows of alien ants from their donor regions to the United States. The analysis of 97 individual commodity flows revealed instead that plants and fruit imports, which are a small subset of all agricultural commodities, were associated with invasion flows. All 95 other commodities differed from flows of alien ants, including most "agricultural" commodities which had extremely heterogenous geographic origins. This highlights the need to know precisely which commodities serve as introduction pathways for a particular taxonomic group in order to explain invasion flows and identify likely source regions of future invasions in a world of changing trade relationships.</p>
Data from: Worldwide impacts of landscape anthropization on mosquito abundance and diversity: a meta-analysis
<p><span>In recent decades, the emergence and resurgence of vector-borne diseases have been well documented </span><span>worldwide</span><span>, especially in tropical regions where protection and defence tools for human populations are still very limited. In this context, the </span><span>dynamics</span><span> of pathogens </span><span>are influenced by</span><span> landscape anthropization (i.e., urbanization, deforestation, and agricultural development)</span><span>,</span><span> and one of the mechanisms through which this occurs is a change in</span><span> the</span><span> abundance and/or diversity of the vectors. An increasing number of empirical studies </span><span>have </span><span>described heterogeneous effects of landscape anthropization on vector communities</span><span>; therefore</span><span>, it is difficult to have an overall picture of these effects on a global scale. Here, we performed a meta-analysis to quantify the impacts of landscape anthropization on a global scale on the presence/abundance and diversity of mosquitoes, the most important arthropods affecting human health. We obtained 338 effect sizes on 132 mosquito species, compiled from 107 studies in 52 countries </span><span>that</span><span> covered almost every part of the world. The results of the meta-analysis showed an overall decline of mosquito presence/abundance and diversity in response to urbanization, deforestation, and </span><span>agricultural</span><span> development, except for a few mosquito species</span><span> </span><span>that have been able to exploit landscape anthropization well. Our results highlighted that these few favoured mosquito species are those of global</span><span> concern. </span><span>They thus provide a better understanding of the overall effect of landscape anthropization on vector communities and</span><span>,</span><span> more importantly, suggest a greater risk of emergence and transmission of vector-borne diseases in human-modified landscapes.</span></p>
A gridded dataset on population densities, real estate prices, transport and land use inside 192 worldwide urban areas
<p>This dataset provides, on a systematic basis, gridded population densities, rents, real estate prices, and transport times (both in<br> public transport and private car) in 192 cities across the world.</p>
Figure 1 in Eriophyoid (Trombidiformes: Eriophyoidea) mite species associated with boxes worldwide with a new record of Eriophyes canestrinii (Nalepa, 1890) from Iran
Figure 1. Schematic drawings of Eriophyes canestrinii (Nalepa, 1890) – AD. Prodorsal shield; AL. Lateral view of anterior body region; CG. Female coxigenital region; em. Empodium; GM. Genital region, Male; IG. Internal female genitalia; LO. Lateral view of annuli; L1. Leg I; PM. Lateral view of posterior opisthosoma. Scale bar: 10
Fig. 4 in New insights into the phylogeny and relationships within the worldwide genus Riccardia (Aneuraceae, Marchantiophytina)
Fig. 4. Afroriccardia comosa (Steph.) Reeb & Gradst. comb. nov. A. Habit of the thallus, Wigginton U5039a, Reeb & Andriamanantena CR13Z28. B. Ventral face showing the wide insertion of rhizoids, DeLisle 220. C. Cross section of main axis showing variability in the thickening of cell walls, Reeb & Andriamanantena CR13Z28, holotype G0045027. D. Cross section of ultimate branch, holotype G0045027. E. Detail of female branch with dense cluster of rhizoids, holotype G0045027. Scale bars: A–B = 1 mm; C = 100 µm.
Fig. 3 in New insights into the phylogeny and relationships within the worldwide genus Riccardia (Aneuraceae, Marchantiophytina)
Fig. 3. Afroriccardia comosa (Steph.) Reeb & Gradst. comb. nov. Population close to sample CR13Z28, Zahamena National Park, Alaotra-Mangoro, Madagascar, 17°37′19″ S, 48°37′46″ E, altitude 1196 m. A. Photographs of the thallus. B. Magnified view of the thallus showing solitary female branches (red arrows). Scale bars = 1 cm.
Fig. 1. The 50 in New insights into the phylogeny and relationships within the worldwide genus Riccardia (Aneuraceae, Marchantiophytina)
Fig. 1. The 50% majority-rule consensus of the trees generated by Bayesian Inference (BI) of the combined psbA-trnH, rps4 and trnL-F dataset. Posterior probability percentages above 80% are indicated under each node. Species names appear in italics, followed by the corresponding voucher number. Outgroup labels appear in light grey. Infra-generic divisions (sub-genera and sections) of Riccardia according to Nebel (2016) are reported in front of each name. The corresponding colour scheme for each sub-generic division is shown in the bottom left proportion of the figure.
Fig. 2 in New insights into the phylogeny and relationships within the worldwide genus Riccardia (Aneuraceae, Marchantiophytina)
Fig. 2. This topology shows the result of the maximum parsimony ratchet. Bootstrap proportions above 80% are indicated under each node. Species names appear in italics, followed by the corresponding voucher number. Outgroup labels appear in light grey. The geographical origin of each Riccardia or Afroriccardia sample is marked by bold rectangles. The continental/geographical repartition of each species according to the literature is indicated with rectangles coloured by continents: Europe (purple), North America (red), southern South America (orange), tropical America (brown), Africa (yellow), Asia (green) and Australasia (blue). A grey rectangle indicates new continental records for the species.
Data and code for 'Worldwide greenhouse gas emissions of green hydrogen production and transport'
<p>This data and code accompanies a Nature Energy article with the title 'Worldwide greenhouse gas emissions of green hydrogen production and transport'. In the article ‘Worldwide greenhouse gas emissions of green hydrogen’, we quantify project-specific greenhouse gas emissions for 1,025 green hydrogen projects in 2030, as well as green hydrogen transport emissions for three transport modes: pipeline, liquid hydrogen shipping and ammonia shipping. This repository entry contains the data and code used to produce the outputs presented in the article.</p>
Dataset: ACI Worldwide, Inc. (ACIW) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Euronet Worldwide, Inc. (EEFT) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: C.H. Robinson Worldwide, Inc. (CHRW) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: ACI Worldwide, Inc. (ACIW) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: IZEA Worldwide, Inc. (IZEA) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Figures 1-6. 1-5 in Taxonomic notes on the genus Rhynchium Spinola (Hymenoptera: Vespidae: Eumeninae) from Vietnam, with a first checklist of the species worldwide
Figures 1-6. 1-5 - Rhynchium brunneum brunneum (Fabricius, 1793): 1-2 - Female - Habitus; 3-4 - Mandible; 5 - Male - Head front view; 6 - Rhynchium haemorrhoidale haemorrhoidale (Fabricius, 1775): Female - Habitus.
Supplementary Data for: Worldwide consequences of a mid-Holocene cold event in the Nordic Seas
<p>SupplementaryTable1.xlsx lists all the samples used to calculate the regional reservoir correction.</p> <p>SupplementaryTable2.xlsx lists all information on the individual radiocarbon dates of all the cores used in the study: LabID, Depth [cm], 14C age ± error, Calibrated age (95% confidence range and mean), and Dated species. Please note that the age-depth relationships have been modeled using a Bayesian approach so the Calibrated ages might differ from the ages that would be yielded by the calibration of individual radiocarbon ages.</p> <p>SupplementaryTable3.xlsx contains all the data used in the study:</p> <p>OCE2017-GR02:<br>- Depth [cm] <br>- Age [ka BP] (this study)<br>- <em>N. pachyderma </em>[%] (Telesiński et al. 2022)<br>- summer sSST 100m [°C] (this study)</p> <p>MSM5-5-723:<br>- Depth [cm]<br>- Age [ka BP] (this study)<br>- <em>N. pachyderma</em> [%] (Werner et al. 2015)<br>- summer sSST 100m [°C] (this study)<br>- P<sub>B</sub>IP<sub>25</sub> (Werner et al. 2015)<br>- Planktic foraminifera fragmentation [%] (Werner et al. 2003)</p> <p>JM10-330GC:<br>- Depth [cm]<br>- Age [ka BP] (this study)<br>- <em>N. pachyderma </em>[%] (Consolaro et al. 2018)<br>- summer sSST 100m [°C] (this study)<br>- Planktic foraminifera [ind./g] (Consolaro et al. 2018)</p> <p>MSM5-5-712:<br>- Depth [cm]<br>- Age [ka BP] (this study)<br>- <em>N. pachyderma </em>[%] (Werner et al. 2013)<br>- summer sSST 100m [°C] (this study)<br>- IRD flux [#/cm**2/kyr] (Werner et al. 2013, recalculated to the new age model)<br>- P<sub>B</sub>IP<sub>25 </sub>(Müller et al. 2012)</p> <p>M23258:<br>- Depth [cm]<br>- Age [ka BP] (this study)<br>- <em>N. pachyderma </em>[%] (Sarnthein et al. 2003)<br>- summer sSST 100m [°C] (this study)<br>- annual SST [°C] (Martrat et al. 2003)</p> <p>M17730-4<br>- Depth [cm]<br>- Age [ka BP] (this study)<br>- <em>N. pachyderma </em>[%] (Telesiński et al. 2015)<br>- summer sSST 100m [°C] (this study)<br>- Planktic foraminifera [ind./g] (Telesiński et al. 2015)</p> <p>MD95-2011<br>- Depth [cm]<br>- Age [ka BP] (this study)<br>- <em>N. pachyderma </em>[%] (Risebrobakken et al. 2003)<br>- summer sSST 100m [°C] (this study)<br>- Planktic foraminifera [ind./g] (Risebrobakken et al. 2003)</p> <p>MD99-2284<br>- Depth [cm]<br>- Age [ka BP] (this study)<br>- <em>N. pachyderma </em>[%] (Bakke et al. 2009, Eldevik et al. 2014)<br>- summer sSST 100m [°C] (this study)</p> <p>JM09-020<br>- Depth [cm]<br>- Age [ka BP] (this study)<br>- annual SST [°C] (Łącka et al. 2019)</p> <p>SupplementaryFigure1.pdf shows Age-depth relationships of cores used in the study as modeled using a Bayesian approach with the Bacon software (Blaauw and Christen, 2011). Dark shading indicates the more likely ages for a given depth, the grey dashed line indicates the 95% confidence range, and the red dashed line indicates the best-fit (mean) age model.</p> <p>SupplementaryFigure2.pdf shows Sea-ice concentration in (A) 6.83-6.85 ka BP and (B) 7.63-7.65 ka BP in the TraCE-21ka. Subsurface (92 m) temperature in (C) 6.81-6.83 ka BP and (D) 7.63-7.65 ka BP in the TraCE-21ka.</p>
Fig. 6 in Worldwide sampling reveals low genetic variability in populations of the freshwater ciliate Paramecium biaurelia (P. aurelia species complex, Ciliophora, Protozoa)
Fig. 6 Map of sampling sit_s of Paramecium biaurelia strains coll_ct_d during fi_ld r_s_arch in th_ Kraków ar_a. a Kraków, "At th_ brickyard" pond, 1 sampling point. b Kraków, Zaczarowana Dorożka Park (pond), 2 sampling points. c Pi_skowa Skała (pond), 1 sampling point. d Kraków,
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.