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10,767 results for “Contribution”
Turner et al., 2021, urban water supply contributions and GAMUT output data
<p>Output from gamut (Geospatial Analytics for Multisectoral Urban Teleconnections) model supporting Turner et al. (2021) - https://www.nature.com/articles/s41467-021-27509-9</p> <p> </p> <p> </p>
Fig. 8. Pentachares sinensis Li in Contributions to the knowledge of Eylaoidea (Acari: Hydrachnidiae) from China
Fig. 8. Pentachares sinensis Li & Guo gen. et sp. nov., holotype, ♀ (GUGC GD-LI-20190801). A. Palp, ventral view. B. Palp, lateral view. C. Idiosoma, ventral view. Scale bars = 200 μm.
Fig. 4 in Contributions to the knowledge of Eylaoidea (Acari: Hydrachnidiae) from China
Fig. 4. Eylais (Meteylais) hamata Koenike, 1897, SEM photographs, ♂ (GUGC QH-EY-20200803). A. Palp-2–5. B. Palp-5, terminal.
Fig. 9. Pentachares sinensis Li in Contributions to the knowledge of Eylaoidea (Acari: Hydrachnidiae) from China
Fig. 9. Pentachares sinensis Li & Guo gen. et sp. nov., holotype, ♀ (GUGC GD-LI-20190801). A. I-L- 1–6. B. II-L-1–6. C. III-L-1–6. D. IV-L-1–6. Scale bar = 200 μm.
Fig. 1 in Contributions to the knowledge of Eylaoidea (Acari: Hydrachnidiae) from China
Fig. 1. Eylais (Meteylais) hamata Koenike, 1897. A–C, E. ♂ (GUGC QH-EY-20200801). D. ♀ (GUGC QH-EY-20200804). A. Idiosoma, dorsal view. B. Eye plate (with a pair of humps). C. Gnathosoma. D–E. Idiosoma, ventral view. Scale bars = 200 μm.
Fig. 2 in Contributions to the knowledge of Eylaoidea (Acari: Hydrachnidiae) from China
Fig. 2. Eylais (Meteylais) hamata Koenike, 1897, SEM photographs, ♂. A. GUGC QH-EY-20200802. B–D. GUGC QH-EY-20200803. A. Eye plate (curved). B. Eye plate (straight). C. Genital field (cuticle crumpled). D. Gnathosoma.
Fig. 5 in Contributions to the knowledge of Eylaoidea (Acari: Hydrachnidiae) from China
Fig. 5. Eylais (Meteylais) hamata Koenike, 1897, ♀ (GUGC QH-EY-20200804). A. I-L-1–6. B. II-L- 1–6. C. III-L-1–6. D. IV-L-1–6. Scale bar = 200 μm.
Frequency-dependent hybridization contributes to habitat segregation in monkeyflowers
<p>Spatial segregation of closely related species is usually attributed to differences in stress tolerance and competitive ability. For both animals and plants, reproductive interactions between close relatives can impose a fitness cost that is more detrimental to the rarer species. Frequency-dependent mating interactions may thus prevent the establishment of immigrants within heterospecific populations, maintaining spatial segregation of species. Despite strong spatial segregation in natural populations, two sympatric California monkeyflowers (<i>Mimulus nudatus</i> and <i>M. guttatus</i>) survive and reproduce in the other's habitat when transplanted reciprocally. We hypothesized that a frequency-dependent mating disadvantage maintains spatial segregation of these monkeyflowers during natural immigration. To evaluate this hypothesis, we performed two field experiments. First, we experimentally added immigrants in varying numbers to sites dominated by heterospecifics. Second, we reciprocally transplanted arrays of varying resident and immigrant frequency. Immigrant seed viability decreased with conspecific rarity for <i>M. guttatus</i>, but not <i>M. nudatus</i>. We observed immigrant minority disadvantage for both species, but driven by different factors– frequency-dependent hybridization for <i>M. guttatus</i>, and competition for resources and/or pollinators for <i>M. nudatus</i>. Overall, our results suggest a major role for reproductive interference in spatial segregation that should be evaluated along with stress tolerance and competitive ability.</p>
Donor Age and Red Cell Age Contribute to the Variance in Lorrca Indices in Healthy Donors for Next Generation Ektacytometry: A Pilot Study
<p>This dataset refers to the article "Donor Age and Red Cell Age Contribute to the Variance in Lorrca Indices in Healthy Donors for Next Generation Ektacytometry: A Pilot Study" Front. Physiol. 12:639722 2021</p> <p>DOI: 10.3389/fphys.2021.639722</p>
Dataset related to article "Plasma Lipid Profiling Contributes to Untangle the Complexity of Moyamoya Arteriopathy"
<p>DATABASE REPORTING CLINICAL, NEURORADIOLOGICAL, DEMOGRAPHICAL AND BIOLOGICAL (“OMICS”) ANONIMYZED DATA OF A SELECTED SUBGROUP OF PATIENTS AFFECTED BY MOYAMOYA ARTERIOPATHY</p>
Dataset related to article "PLASMA LIPID PROFILING CONTRIBUTES TO UNTANGLE THE COMPLEXITY OF MOYAMOYA ARTERIOPATHY"
<p>DATABASE REPORTING CLINICAL, NEURORADIOLOGICAL, DEMOGRAPHICAL AND BIOLOGICAL (“OMICS”) ANONIMYZED DATA OF A SELECTED SUBGROUP OF PATIENTS AFFECTED BY MOYAMOYA ARTERIOPATHY</p>
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>
Fig. 2 in August Wulfhorst (1861-1936) and his overlooked contributions on the flora of Angola
Fig. 2. – Holotype of Wulfhorstia spicata C. DC. (Z000015223), showing original and replacement labels.
The biodiversity and ecosystem service contributions and trade-offs of forest restoration approaches
<p>Forest restoration is being scaled-up globally to deliver critical ecosystem services and biodiversity benefits, yet we lack rigorous comparison of co-benefit delivery across different restoration approaches. In a global synthesis (Hua et al. 2022, Science; DOI: <a href="https://doi.org/10.1126/science.abl4649">10.1126/science.abl4649</a>), we use 25,950 matched data pairs from 264 studies in 53 countries to assess how delivery of climate, soil, water, and wood production services as well as biodiversity compares across a range of tree plantations and native forests. Carbon storage, water provisioning, and especially soil erosion control and biodiversity benefits are all delivered better by native forests, with compositionally simpler, younger plantations in drier regions performing particularly poorly. However, plantations exhibit an advantage in wood production. These results underscore important trade-offs among environmental and production goals that policymakers must navigate in meeting forest restoration commitments. The Excel file and the R code here are the datasets and analysis code that underlie the above study.</p>
Mapping of promoter usage QTL using RNA-seq data reveals their contributions to complex traits
<p>Supporting data associated with the manuscript "Mapping of promoter usage QTL using RNA-seq data reveals their contributions to complex traits". These include:</p> <ul> <li><strong>StringTie2.438.GEUVADIS.gtf.gz</strong> - Assembled transcriptome using RNA-seq from 438 samples from the GEUVADIS project by StringTie2</li> <li><strong>puQTL_nominal_output.txt.gz</strong> - puQTL results from QTLtools nominal pass</li> <li><strong>puQTL_conditional_output.txt.gz</strong> - puQTL results from QTLtools conditional pass</li> <li><strong>eQTL_nominal_output.txt.gz</strong> - eQTL results from QTLtools nominal pass</li> <li><strong>eQTL_conditional_output.txt.gz</strong> - eQTL results from QTLtools conditional pass</li> </ul> <p>See <a href="https://qtltools.github.io/qtltools/">https://qtltools.github.io/qtltools/</a> for column descriptions of QTL mapping results.</p>
Linear rheology of liquid foam - data from "Delayed elastic contributions to the viscoelastic response of foams"
<p>Linear rheological data of Gillette shaving cream "normal skin" made by Gillette UK LTD, acquired at the Department of Physics, University of Fribourg, Switzerland, between 2019 and 2022. Dataset contains elastic modulus, creep-recovery, stress relaxation, and frequency sweep experimental data, together with model data, as described in "Delayed elastic contributions to the viscoelastic response of foams", The Journal of Chemical Physics, 2022, published in the special issue <em>Slow Dynamics</em> [DOI: 10.1063/5.0085773].</p>
FIG. 3. — A in Contributions to the taxonomic status and molecular phylogeny of Asian Bronzeback Snakes (Colubridae, Ahaetuliinae, Dendrelaphis Boulenger, 1890), from Mizoram State, Northeast India
FIG. 3. — A, BI phylogenetic tree estimated by mitochondrial 16S rRNA and; B, partial COI sequences depicting the phylogenetic relationships of Dendrelaphis Boulenger, 1890 species with BPP/UFB support at the branch nodes. Sequences generated in this study are shown in bold.
FIG. 2. — A in Contributions to the taxonomic status and molecular phylogeny of Asian Bronzeback Snakes (Colubridae, Ahaetuliinae, Dendrelaphis Boulenger, 1890), from Mizoram State, Northeast India
FIG. 2. — A, Dendrelaphis biloreatus Wall, 1908 in life, showing anterior body and head from Kolasib, Mizoram, NE India. Inset: Dorso-lateral view of the head showing two loreal scales; B, juvenile Dendrelaphis biloreatus (MZMU1812) in life from MZU Campus, Mizoram, NE India, photographed by Tbc. Lalhruaitluangi. Inset: Antero-lateral view of the head showing single loreal scale, photographed by Romalsawma.
FIG. 6 in Contributions to the taxonomic status and molecular phylogeny of Asian Bronzeback Snakes (Colubridae, Ahaetuliinae, Dendrelaphis Boulenger, 1890), from Mizoram State, Northeast India
FIG. 6. — Two specimens of Dendrelaphis proarchos Wall, 1909 found sheltered inside a green bamboo: A, from Kepran,photographed by Tbc. Mapuia; B, from Tlangnuam, photographed by C. Mawitea.
FIG. 7. — A in Contributions to the taxonomic status and molecular phylogeny of Asian Bronzeback Snakes (Colubridae, Ahaetuliinae, Dendrelaphis Boulenger, 1890), from Mizoram State, Northeast India
FIG. 7. — A, Dendrelaphis cyanochloris (Wall, 1921) preying on adult Calotes emma Gray, 1845, photographed by R. Lalnunmawia; B, Dendrelaphis proarchos Wall, 1909 preying on adult Duttaphrynus melanostictus (Schneider,1799), photographed by Hawla Hmar Zote.
ScienceDex guides
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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.