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3,172 results for “public”

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zenodo32/100

FIGURE 41 in Malacostraca Podophthalmata Britanniae 1815-1875 by William Elford Leach and the history of its fragmented publication (Crustacea: Decapoda)

FIGURE 41. Tab. XXXIV, [Fig. 1], Potamobius astacus, now Austropotamobius pallipes (Lereboullet, 1858); [figs. 2–5], Scyllarus arctus (Linnaeus, 1758) by George Brettingham Sowerby, II from Sowerby, G.B. II in Leach (1875) Malacostraca Podophthalma Britanniae, Nos. XVIII & XIX. Image by Jonathan Jackson, NHM Photo Unit.

opennotspecifiedDec 2021View details →
zenodo32/100

FIGURE 42 in Malacostraca Podophthalmata Britanniae 1815-1875 by William Elford Leach and the history of its fragmented publication (Crustacea: Decapoda)

FIGURE 42. Tab. XXXV, Astacus gammarus, now Homarus gammarus (Linnaeus, 1758) by George Brettingham Sowerby, II from Sowerby, G.B. II in Leach (1875) Malacostraca Podophthalma Britanniae, Nos. XVIII & XIX. Image by Jonathan Jackson, NHM Photo Unit.

opennotspecifiedDec 2021View details →
zenodo32/100

Dataset of publications focused on artificial light at night in fishes (up to January 2021)

<p>Summary of publications focused on artificial light in fishes (as identified by search in Web of Science Core Collection; January 2021) with designation of&nbsp;whether they pertain to light pollution or other contexts (e.g., bycatch reduction, aquaculture). The types of effects studied are also designated (e.g., behaviour, physiology, community structure).</p>

opencc-by-4.0Dec 2021View details →
zenodo32/100

Datasets from the publication "Delineating the geographic context of physical activities: A systematic search and scoping review of the methodological approaches used in social ecological research over two decades"

<p>Data from research article Rinne, T., Kajosaari, A., S&ouml;derholm, M., Berg, B., Pesola, A.J., Smith, M., Kytt&auml;, M. (2022). Delineating the geographic context of physical activities: A systematic search and scoping review of the methodological approaches used in social ecological research over two decades, <em>Health and Place</em>.</p> <p>This data includes supplementary materials 1, 2, 3 and 4, PRISMA checklist and a translated research protocol.</p>

opencc-by-4.0Aug 2021View details →
zenodo32/100

Data linked to publication entitled "Biochar derived from Acai agroindustry waste enhances nutritional status and biomass in young Eucalyptus urophylla plants: Evidence connected to root development and leaf performance"

<p>Data linked to publication entitled &quot;Biochar derived from Acai agroindustry waste enhances nutritional status and biomass in young Eucalyptus urophylla plants: Evidence connected to root development and leaf performance&quot;</p>

opencc-by-4.0Jan 2022View details →
zenodo32/100

Supplementary materials for the article "Encouraging a sustainable adoption of autonomous vehicles for public transport in Belgium: citizen acceptance, business mod-els and policy aspects"

<p>Supplementary materials for the article &quot;Encouraging a sustainable adoption of autonomous vehicles for public transport in Belgium: citizen acceptance, business mod-els and policy aspects&quot;. It includes:</p> <p>- The dataset excluding data subject to confidentiality due to privacy reasons</p> <p>- The consent form distributed to survey participants</p> <p>- The survey used in the study</p>

opencc-by-4.0Jan 2022View details →
zenodo32/100

Data of the Publication: Master of Chaos and Order:Opposite Microstructures of PCL-co-PGA-co-PLA Accesible by a Single catalyst

<p>NMR, DSC and MALDI-ToF-MS data of the copolymers discussed in the publication &quot;Master of Chaos and Order: Opposite Microstructures of PCL-co-PGA-co-PLA Accessible by a Single Catalyst&quot;.</p>

opencc-by-4.0Jan 2022View details →
zenodo32/100

Code for GMD publication - Simulated microphysical properties of winter storms from bulk-type microphysics schemes and their evaluation in WRF (v4.1.3) model during ICE-POP 2018

<p>In this repository, we include the source codes for WRF microphysics parameterization used in the GMD publication &quot;Simulated microphysical properties of winter storms from bulk-type microphysics schemes and their evaluation in WRF (v4.1.3) model during ICE-POP 2018.&quot;</p> <p>The four 2-moment bulk microphysical parameterization codes, WDM6, WDM7, Thompson, and Morrison, are divided into 3 WDM, Thompson, and Morrison codes, and each code has been modified so that detailed microphysical processes can be checked in wrfout.</p> <p>The WDM6 and WDM7 schemes include numerical errors for&nbsp;ice microphysical parameterization (Kim and lim, 2021) and for cloud evaporation and melting processes&nbsp;(Lei et al., 2020).</p> <p>Namelist files shows the namelist.input for each case.</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Jan 2022View details →
zenodo32/100

Code for JAMES publication - Implementation of prognostic cloud ice number concentrations for the Weather Research and Forecasting (WRF) Double-Moment 6-class (WDM6) microphysics scheme.

<p>In this repository, we include the source codes for WRF microphysics parameterization used in the JAMES&nbsp;publication &quot;Implementation of prognostic cloud ice number concentrations for the Weather Research and Forecasting (WRF) Double-Moment 6-class (WDM6) microphysics scheme&quot;</p> <p>&nbsp;</p> <p>The revised WDM6 code, which predicts the number concentration of cloud ice, and the original WDM6 code are uploaded. Each code is modified so that detailed microphysical processes can be found in wrfout.</p> <p>&nbsp;</p> <p>Namelist files shows the namelist.input for each case.</p> <p>&nbsp;</p> <p>Scripts file for figures in this manuscript are uploaded</p>

opencc-by-4.0Jan 2022View details →
zenodo32/100

Dataset for publication: Design and Characterization of a Magnetic Loop Antenna for Partial Discharge Measurements in Gas Insulated Substations

<p>Data set belonging to the IEEE Sensors Journal&nbsp;paper with DOI: <a href="https://doi.org/10.1109/JSEN.2021.3089084">10.1109/JSEN.2021.3089084</a></p> <p>Mier Escurra, Christian; Mor, Armando Rodrigo; Vaessen, Peter</p> <p><em>Design and Characterization of a Magnetic Loop Antenna for Partial Discharge Measurements in Gas Insulated Substation</em></p>

opencc-by-4.0Jan 2022View details →
zenodo32/100

Dataset for publication: High-Frequency Current Transformer Design and Implementation Considerations for Wideband Partial Discharge Applications

<p>Data set belonging to the IEEE Trans. Instr. Meas. paper with DOI: <a href="https://doi.org/10.1109/TIM.2021.3052002">10.1109/TIM.2021.3052002</a></p> <p>The authors preprint is available from Zendodo with DOI:&nbsp;<a href="https://doi.org/10.5281/zenodo.4772470">10.5281/zenodo.4772470</a>&nbsp;</p> <p>Kl&uuml;ss, Joni; Elg, Alf-Peter; Wingqvist Claes</p> <p><em>High-Frequency Current Transformer Design and Implementation Considerations for Wideband Partial Discharge Applications</em></p>

opencc-by-4.0Jan 2021View details →
zenodo32/100

Supplementary data for the publication of Characterization of Emissions in Fab Labs: an Additive Manu-facturing Environment Issue

<p>Datasets for the publication of the article &quot;Characterization of Emissions in Fab Labs: an Additive Manufacturing Environment Issue&quot;:</p> <p>- Ultrafine Particles:&nbsp;UFP&nbsp;per&nbsp;Zone&nbsp;and&nbsp;mode;</p> <p>- VOC&nbsp;emissions: VOC per Zone and mode.</p>

opencc-by-4.0Jan 2022View details →
zenodo32/100

Data for the publication "Low sensitivity of three terrestrial biosphere models to soil texture over the South-American tropics"

<p>Code and data for the aforementionned publication&nbsp;</p>

opencc-by-4.0Feb 2022View details →
zenodo32/100

Vigilancia Intensificada de 100 casos y contactos de Influenza y SARS CoV-2, en Meta, Tolima y Cundinamarca, Colombia, 2020. (Intensified public health surveillance for first 100 cases in Meta, Tolima, and Cundinamarca, Colombia, 2020)

<p>Results from the FFX Unity study in Meta, Tolima, and Cundinamarca, Colombia, 2020.</p>

opencc-by-4.0Feb 2022View details →
zenodo32/100

Raw gel and membrane figures associated with the publication "Iron-loaded deferiprone can support full hemoglobinization of cultured red blood cells"

<p>Raw gel and membrane figures associated with the publication&nbsp;<strong>Iron-loaded deferiprone can support full hemoglobinization of cultured red blood cells</strong>.</p> <p>&nbsp;</p> <p><strong>For Figure 1a:</strong></p> <p>Raw uncropped image of the gel run with samples combining apotransferrin with iron chelators. After staining with Coomassie, gel was scanned in an Epson V500 scanner (full color, 1200 dpi, bit depth = 24).</p> <p>&nbsp;</p> <p><strong>For Figure 3:</strong></p> <p>Raw uncropped images of the membranes obtained from western blots of cultured erythroblasts derived from three different donors, showing the expression level of proteins involved in iron metabolism regulation (ferritin, transferrin receptor, total EIF2, phospho-EIF2). Actin was used as housekeeping protein for relative quantification of protein abundance for further analysis.</p> <p>After staining, membranes were scanned in an Epson V500 scanner (full color, 1200 dpi, bit depth = 24).</p> <p>For all membranes, the loading order is the same:</p> <p>-&nbsp;<strong>Day 0:</strong>&nbsp;1000 &mu;g/mL holotransferrin</p> <p>-&nbsp;<strong>Day 0:</strong>&nbsp;100 &mu;g/mL holotransferrin</p> <p>-&nbsp;<strong>Day 0:</strong>&nbsp;100 &mu;g/mL holotransferrin + 52 &mu;M iron-loaded deferiprone</p> <p>-&nbsp;<strong>Day 1:</strong>&nbsp;52 &mu;M iron-loaded deferiprone</p> <p>-&nbsp;<strong>Day 1:</strong>&nbsp;1000 &mu;g/mL apotransferrin</p> <p>-&nbsp;<strong>(empty lane)</strong></p> <p>-&nbsp;<strong>Day 1:</strong>&nbsp;1000 &mu;g/mL holotransferrin</p> <p>-&nbsp;<strong>Day 1:</strong>&nbsp;100 &mu;g/mL holotransferrin</p> <p>-&nbsp;<strong>Day 1:</strong>&nbsp;100 &mu;g/mL holotransferrin + 52 &mu;M iron-loaded deferiprone</p> <p>-&nbsp;<strong>Day 1:</strong>&nbsp;52 &mu;M iron-loaded deferiprone</p> <p>-&nbsp;<strong>Day 1:</strong>&nbsp;1000 &mu;g/mL apotransferrin</p> <p>-&nbsp;<strong>(empty lane)</strong></p> <p>-&nbsp;<strong>Day 2:</strong>&nbsp;1000 &mu;g/mL holotransferrin</p> <p>-&nbsp;<strong>Day 2:</strong>&nbsp;100 &mu;g/mL holotransferrin</p> <p>-&nbsp;<strong>Day 2:</strong>&nbsp;100 &mu;g/mL holotransferrin + 52 &mu;M iron-loaded deferiprone</p> <p>-&nbsp;<strong>Day 2:</strong>&nbsp;52 &mu;M iron-loaded deferiprone</p> <p>-&nbsp;<strong>Day 2:</strong>&nbsp;1000 &mu;g/mL apotransferrin</p> <p>More details on the protocol for western blot available in the manuscript at https://doi.org/10.1101/2021.08.02.454758</p> <p>&nbsp;</p> <p><strong>For Figure 4:</strong></p> <p>Raw uncropped images of the membranes obtained from western blots of cultured erythroblasts derived from two different donors with different iron supplementations (no hTf or Def, 52 &mu;M iron-loaded deferiprone, or 300 &mu;g/mL holotransferrin), showing the phosphorylation level of STAT5 upon withdrawal of erythropoietin (Epo) (3 hours) and restimulation with 0.2 or 1.0 U/mL Epo.</p> <p>After staining, membranes were scanned in an Epson V500 scanner (full color, 1200 dpi, bit depth = 24).</p> <p>For both membranes, the loading order is the same:</p> <p>- <strong>Lane 1:</strong> cells cultured without hTf nor Def, and no Epo restimulation</p> <p>- <strong>Lane 2:</strong> cells cultured with 52 &mu;M iron-loaded deferiprone, and no Epo restimulation</p> <p>- <strong>Lane 3:</strong> cells cultured with 300 &mu;g/mL holotransferrin, and no Epo restimulation</p> <p>- <strong>Lane 4:</strong> cells cultured without hTf nor Def, and restimulation with 0.2 U/mL Epo.</p> <p>- <strong>Lane 5:</strong> cells cultured with 52 &mu;M iron-loaded deferiprone, and restimulation with 0.2 U/mL Epo.</p> <p>- <strong>Lane 6:</strong> cells cultured with 300 &mu;g/mL holotransferrin, and restimulation with 0.2 U/mL Epo.</p> <p>- <strong>Lane 7:</strong> cells cultured without hTf nor Def, and restimulation with 1.0 U/mL Epo.</p> <p>- <strong>Lane 8:</strong> cells cultured with 52 &mu;M iron-loaded deferiprone, and restimulation with 1.0 U/mL Epo.</p> <p>- <strong>Lane 9:</strong> cells cultured with 300 &mu;g/mL holotransferrin, and restimulation with 1.0 U/mL Epo.</p>

opencc-by-4.0Feb 2022View details →
zenodo32/100

Risk perception and travel satisfaction associated with the use of public transport in the time of COVID-19. The case of Turin, Italy

<p>Dataset created from the data of a survey about risk perception and travel satisfaction associated with the use of PT in the time of Covid-19 in Turin metropolitan area (Italy).</p>

opencc-by-4.0Mar 2022View details →
zenodo32/100

Data for the publication "Estimation of the importance of natural cloud seeding" (Master thesis)

<p>This repository contains the data for the thesis: &quot;Estimation of the importance of natural cloud seeding&quot; by Ulrike Proske, submitted in April 2020 to the&nbsp;Department of Earth Sciences,&nbsp;ETH Zurich.</p>

opencc-by-sa-4.0Apr 2020View details →
zenodo32/100

Tracking openness and topic evolution of COVID-19 publications: a comprehensive analysis (January 2020- March 2021)

<p>Underlying raw data of the article: &quot;Tracking openness and topic evolution of COVID-19 publications: a comprehensive analysis (January 2020- March 2021)&quot;.&nbsp;</p> <p>Data was extracted from LENS considering only PubMed database.&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Mar 2022View details →
zenodo32/100

Geographic Diversity in Public Code Contributions — Replication Package

<p>Geographic Diversity in Public Code Contributions - Replication Package</p> <p>This document describes how to replicate the findings of the paper: Davide Rossi and Stefano Zacchiroli, 2022,&nbsp;<em>Geographic Diversity in Public Code Contributions - An Exploratory Large-Scale Study Over 50 Years</em>. In 19th International Conference on Mining Software Repositories (MSR &rsquo;22), May 23-24, Pittsburgh, PA, USA. ACM, New York, NY, USA, 5 pages.&nbsp;<a href="https://doi.org/10.1145/3524842.3528471">https://doi.org/10.1145/3524842.3528471</a></p> <p>This document comes with the software needed to mine and analyze the data presented in the paper.</p> <p>Prerequisites</p> <p>These instructions assume the use of the&nbsp;<a href="https://www.gnu.org/software/bash/">bash</a>&nbsp;shell, the&nbsp;<a href="https://www.python.org/">Python</a>&nbsp;programming language, the&nbsp;<a href="https://www.postgresql.org/">PosgreSQL</a>&nbsp;DBMS (version 11 or later), the&nbsp;<a href="https://facebook.github.io/zstd/">zstd</a>&nbsp;compression utility and various usual *nix shell utilities (cat, pv, &hellip;), all of which are available for multiple architectures and OSs.<br> It is advisable to create a&nbsp;<a href="https://docs.python.org/3/tutorial/venv.html">Python virtual environment</a>&nbsp;and install the following PyPI packages:</p> <pre><code>click==8.0.4 cycler==0.11.0 fonttools==4.31.2 kiwisolver==1.4.0 matplotlib==3.5.1 numpy==1.22.3 packaging==21.3 pandas==1.4.1 patsy==0.5.2 Pillow==9.0.1 pyparsing==3.0.7 python-dateutil==2.8.2 pytz==2022.1 scipy==1.8.0 six==1.16.0 statsmodels==0.13.2</code></pre> <p>Initial data</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&nbsp;<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&nbsp;<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,&nbsp;<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.&nbsp;<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&nbsp;<code>swh-replica</code>.</li> <li><code>names.tab</code>&nbsp;- forenames and surnames per country with their frequency</li> <li><code>zones.acc.tab</code>&nbsp;- countries/territories, timezones, population and world zones</li> <li><code>c_c.tab</code>&nbsp;- ccTDL entities - world zones matches</li> </ul> <p>Data preparation</p> <ul> <li> <p>Export data from the&nbsp;<code>swh-replica</code>&nbsp;database to create&nbsp;<code>commits.csv.zst</code>&nbsp;and&nbsp;<code>authors.csv.zst</code></p> <pre><code>sh&gt; ./export.sh</code></pre> </li> <li> <p>Run the authors cleanup script to create&nbsp;<code>authors--clean.csv.zst</code></p> <pre><code>sh&gt; ./cleanup.sh authors.csv.zst</code></pre> </li> <li> <p>Filter out implausible names and create&nbsp;<code>authors--plausible.csv.zst</code></p> <pre><code>sh&gt; pv authors--clean.csv.zst | unzstd | ./filter_names.py 2&gt; authors--plausible.csv.log | zstdmt &gt; authors--plausible.csv.zst</code></pre> </li> </ul> <p>Zone detection by email</p> <ul> <li> <p>Run the email detection script to create&nbsp;<code>author-country-by-email.tab.zst</code></p> <pre><code>sh&gt; pv authors--plausible.csv.zst | zstdcat | ./guess_country_by_email.py -f 3 2&gt; author-country-by-email.csv.log | zstdmt &gt; author-country-by-email.tab.zst</code></pre> </li> </ul> <p>Database creation and initial data ingestion</p> <ul> <li> <p>Create the PostgreSQL DB</p> <pre><code>sh&gt; createdb zones-commit</code></pre> <p>Notice that from now on when prepending the&nbsp;<code>psql&gt;</code>&nbsp;prompt we assume the execution of psql on the&nbsp;<code>zones-commit</code>&nbsp;database.</p> </li> <li> <p>Import data into PostgreSQL DB</p> <pre><code>sh&gt; ./import_data.sh</code></pre> </li> </ul> <p>Zone detection by name</p> <ul> <li> <p>Extract commits data from the DB and create&nbsp;<code>commits.tab</code>, that is used as input for the zone detection script</p> <pre><code>sh&gt; psql -f extract_commits.sql zones-commit</code></pre> </li> <li> <p>Run the world zone detection script to create&nbsp;<code>commit_zones.tab.zst</code></p> <pre><code>sh&gt; pv commits.tab | ./assign_world_zone.py -a -n names.tab -p zones.acc.tab -x -w 8 | zstdmt &gt; commit_zones.tab.zst</code></pre> Use&nbsp;<code>./assign_world_zone.py --help</code>&nbsp;if you are interested in changing the script parameters.</li> <li> <p>Ingest zones assignment data into the DB</p> <pre><code>psql&gt; \copy commit_zone from program 'zstdcat commit_zones.tab.zst | cut -f1,6 | grep -Ev ''\s$'''</code></pre> </li> </ul> <p>Extraction and graphs</p> <ul> <li> <p>Run the script to execute the queries to extract the data to plot from the DB. This creates&nbsp;<code>commit_zones_7120.tab</code>,&nbsp;<code>author_zones_7120_t5.tab</code>,&nbsp;<code>commit_zones_7120.grid</code>&nbsp;and&nbsp;<code>author_zones_7120_t5.grid</code>.<br> Edit&nbsp;<code>extract_data.sql</code>&nbsp;if you whish to modify extraction parameters (start/end year, sampling, &hellip;).</p> <pre><code>sh&gt; ./extract_data.sh</code></pre> </li> <li> <p>Run the script to create the graphs from all the previously extracted tabfiles.</p> <pre><code>sh&gt; ./create_stackedbar_chart.py -w 20 -s 1971 -f commit_zones_7120.grid -f author_zones_7120_t5.grid -o chart.pdf</code></pre> </li> </ul>

opencc-by-4.0Mar 2022View details →
zenodo32/100

Data of publication "Impact of biomass burning and stratospheric intrusions in the remote South Pacific Ocean troposphere" by N. Daskalakis et al.

<p>Modeled data and measured data as used for the publication &quot; Impact of biomass burning and stratospheric intrusions in the remote South Pacific Ocean troposphere&quot; by N. Daskalakis et al. All measured data were obtained from the official sources, and model results are described in the publication. Please refer to the manuscript for further information for the data and the model.</p>

opencc-by-4.0Mar 2022View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.