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3,363 results for “Replication”
Replication Data for Coloring Tetrahedral Semiconductors: Synthesis and Photoluminescence Enhancement of Ternary II-III2‑VI4 Colloidal Nanocrystals
<p>Ternary tetrahedral II-III2-VI4 semiconductors, where II is Zn or Cd, III In or Ga, and VI S, Se, or Te, are of interest in UV radiation detectors in medicine and space physics as well as CO2 photoreduction under visible light. We synthesize colloidal II-III2-VI4 semiconductor nanocrystals from readily available precursors and<br>ascertain their ternary nature by structural and spectroscopic methods, including 77Se solid-state NMR spectroscopy. The pyramidally shaped nanocrystals range between 2 and 12 nm and exhibit optical gaps of 2−3.9 eV. In the presence of excess anions on the particle surface, treatment with Lewis acidic, Z-type ligands results in better passivation and enhanced photoluminescence. Electronic structure calculations reveal<br>the most stable, lowest energy polymorphs and coloring patterns. This work will pave the way toward more environmentally friendly, ternary semiconductors for optoelectronics and electrocatalysis.</p>
Pure Electronic Noise of an Orbitrap Mass Spectrometer (36 replicates)
<p>The provided data was produced by performing measurements in an HPLC-ESI-Orbitrap instrument setup without the ESI being connected to an eluent flow, and consequently not producing a spray cone. We provide this data to allow researchers developing algorithms for data analysis in mass spectrometry to estimate the behaviour of their tools when confronted with real, non-chemical noise. </p> <p>As a consequence of the experimental setup, chromatographic information is included in the provided files. This does not reflect any condition of the system, as the HPLC was not connected to the MS. When using a (chromatographc) peak finding algorithm, consequently no peaks should be found. This property of the data was confirmed using the qAlgorithms program, with no peaks and at most single-digit numbers of EICs being detected.</p> <p>All data is provided in profile mode, both as the .raw file and converted to .mzML using msconvert. </p>
Replication Data for figures in: Constraining net long-term climate feedback from satellite-observed internal variability possible by the mid-2030s
<p>Supporting data to reproduce figures in: Constraining net long-term climate feedback from satellite-observed internal variability possible by the mid-2030s</p>
Replication package for Transport and urban growth in the First Industrial Revolution
<p><span>Replication package for Alvarez-Palau, E. J., Bogart, D., Satchell, A.E., Shaw-Taylor, L.</span><strong><span> </span></strong><span>‘Transport and urban growth in the First Industrial Revolution’ Economic Journal<span> </span></span></p>
Replication Data for: The colonial legacy of education: Evidence from Tunisia
<p>This repository contains replication data for Ben Salah et al. (2024), "The colonial legacy of education: Evidence from Tunisia" (<em>Journal of Comparative Economics</em>, <a href="https://doi.org/10.1016/j.jce.2024.09.002" target="_blank" rel="noopener">https://doi.org/10.1016/j.jce.2024.09.002</a>). All non-confidential data inputs are included, as well as final data outputs, and a pdf file containing the final tables and figures for all main text and supplementary tables and figures.</p> <p>The manuscript and supplementary information are available at the JCE, <a href="https://doi.org/10.1016/j.jce.2024.09.002">here</a>.</p>
Replication Data for: Beyond the Dailey-Townes model: chemical information from the electric field gradient
<p>This dataset collects the unprocessed (= outputs from calculations) results discussed in the paper entitled "Beyond the Dailey-Townes model: chemical information from the electric field gradient" by G. Fabbro, J. Pototschnig, and T. Saue.</p>
Replication Package of "Exploiting Vision-Language Models in GUI Reuse"
<p>This replication package is for the paper entitled "Exploiting Vision-Language Models in GUI Reuse". The authors remain anonymous for double-blind review purposes. The package contains six files. If the paper is accepted, then the authors will move the replication package to a public repository hosted by an institution.</p>
Replication package for "Why do people persist in sea-level rise threatened coastal regions? Empirical evidence on risk aversion and place attachment"
<p><strong>Steps to replicate the tables and figures in “Why do people persist in sea-level rise threatened coastal regions? Empirical evidence on risk aversion and place attachment”</strong></p> <p><em>by Ivo Steimanis, Matthias Mayer and Björn Vollan</em></p> <p><strong>General information:</strong></p> <ul> <li>Instructions for replication of the results using Stata. All do-files were created in Stata 16.</li> <li>There are 4 folders (DO-FILES, DTA-FILES, OUTPUT, XLS-FILES), in the replication package. Copy these folders to your computer in a common directory</li> </ul> <p> </p> <p><strong>Do-files:</strong></p> <ul> <li>In the DO-FILES folder run the <strong>“00_master.do”</strong> to replicate the results reported in the main manuscript and the supplementary materials. The results will be saved in the OUTPUT folder. All additional Stata packages will be automatically installed.</li> <li><strong>“01_merge_generate.do” </strong>merges the different datasets and creates additional variables using in the analysis</li> <li><strong>“02_analysis.do” </strong>provides the code to replicate all figures and tables reported in the main manuscript and supplementary materials</li> </ul> <p> </p> <p><strong>Data sets:</strong></p> <ul> <li>“bd_combine.dta”: cleaned survey data from Bangladesh</li> <li>“vn_combine.dta”: cleaned survey data from Vietnam</li> <li>“data_analysis.dta”: main data set with the survey data from Bangladesh and Vietnam merged</li> </ul>
Replication Package of: "From Anecdote to Evidence: The Relationship Between Personality and Need for Cognition"
<p>Several anecdotes suggests that software engineers enjoy engaging in solving puzzles and other cognitive efforts. This tendency to engage in and enjoy effortful thinking is referred to as a person's 'need for cognition.' An open question is, however, whether developers differ from the general population in their scores of need for cognition. To address this question, we conducted a large-scale sample study of 483 software engineers. Personality plays a significant role in people's behavior and is stable over time, and is therefore considered a defining characteristic of individuals. We analyzed the data using multiple Bayesian linear regression analyses. The results indicate that ca. 33% of variation in developers' need for cognition can be explained by personality traits. Given the importance of human factors for software developer performance in general, and problem solving skills in particular, answering this question has substantial implications, such as recruitment & retention, working behaviour, and teaming.</p>
Replication Package for "Evaluating SZZ Implementations Through a Developer-informed Oracle"
<p>This is the replication package for the paper "Evaluating SZZ Implementations Through a Developer-informed Oracle" published in the 43rd International Conference on Software Engineering (ICSE 2021). <a href="https://arxiv.org/abs/2102.03300">https://arxiv.org/abs/2102.03300</a></p>
Replication Package for ROSDiscover: Statically Detecting Run-Time Architecture Misconfigurations in Robotics Systems
<p><strong>Replication Package for ROSDiscover: Statically Detecting Run-Time Architecture Misconfigurations in Robotics Systems</strong></p> <p>This is the replication package for the paper, ROSDiscover: Statically Detecting Run-Time Architecture Misconfigurations in Robotics Systems, which has been accepted at the International Conference on Software Architecture (ICSA), 2021. A preprint of the paper is included in this replication package (paper.pdf).</p> <p>This artifact is archived on Zenodo with the following DOI: <a href="https://doi.org/10.5281/zenodo.5834633">https://doi.org/10.5281/zenodo.5834633</a></p> <p>The study associated with this artifact was carried out by the following investigators:</p> <ul> <li><a href="http://christimperley.co.uk">Christopher S. Timperley</a> (Carnegie Mellon University)</li> <li><a href="https://tobiasduerschmid.github.io">Tobias Dürschmid</a> (Carnegie Mellon University)</li> <li><a href="https://www.cs.cmu.edu/~schmerl">Bradley Schmerl</a> (Carnegie Mellon University)</li> <li><a href="http://www.cs.cmu.edu/~garlan">David Garlan</a> (Carnegie Mellon University)</li> <li><a href="https://clairelegoues.com">Claire Le Goues</a> (Carnegie Mellon University)</li> </ul> <p>If you have any questions regarding the research or the replication package, you should contact Christopher, Tobias, or Bradley.</p> <p><strong>Abstract</strong></p> <p>Robot systems are growing in importance and complexity. Ecosystems for robot software, such as the Robot Operating System (ROS), provide libraries of reusable software components that can be configured and composed into larger systems. To support compositionality, ROS uses late binding and architecture configuration via “launch files” that describe how to initialize the components in a system. However, late binding often leads to systems failing silently due to misconfiguration, for example by misrouting or dropping messages entirely.</p> <p>In this paper we present ROSDiscover, which statically recovers the run-time architecture of ROS systems to find such architecture misconfiguration bugs. First, ROSDiscover constructs component level architectural models (ports, parameters) from source code. Second, architecture configuration files are analyzed to compose the system from these component models and derive the connections in the system. Finally, the reconstructed architecture is checked against architectural rules described in first-order logic to identify potential misconfigurations.</p> <p>We present an evaluation of ROSDiscover on real world, off-the-shelf robotic systems, measuring the accuracy, effectiveness, and practicality of our approach. To that end, we collected the first data set of architecture configuration bugs in ROS from popular open-source systems and measure how effective our approach is for detecting configuration bugs in that set.</p>
Replication package for: Privatization and Productivity in China
<p>This replication package contains the data and the code to generate the results reported in "Privatization and Productivity in China" by Yuyu Chen, Mitsuru Igami, Masayuki Sawada, and Mo Xiao, published in The RAND Journal of Economics (Winter 2021), volume 52, issue 4, pages 884–916.</p>
Genome-wide mapping of individual replication fork velocities using nanopore sequencing
<p>These data are related to the <strong>"Genome-wide mapping of individual replication fork velocities using nanopore sequencing" </strong>manuscript by Theulot, Lacroix et al. (https://doi.org/10.1038/s41467-022-31012-0) and to the GitHub repository NanoForkSpeed (https://github.com/LacroixLaurent/NanoForkSpeed).</p> <p>BT1_run4.tar.gz contains the nanopore reads from a typical experiment as fast5 files.</p> <p>BT1_run4_mega.zip contains the result of the BrdU basecalling as described on the GitHub page in a modified bam file format as described on the GitHub page NanoForkSpeed/BrdU_Basecalling..</p> <p>BT1_run4_Megalodon_00_smdata.rds contains the result of the parsing function for the modified bam file as described on the GitHub page NanoForkSpeed/BrdU_Basecalling.</p> <p>BT1_run4_Megalodon_00_NFS_data.rds contains the result of the fork detection procedure on the BT1_run4_Megalodon_00_smdata.rds file as described on the GitHub page NanoForkSpeed/Forks_Detection.</p> <p>BT1_run4_merged_NFS_data.rds contains the result of the NFS_merge function as described on the GitHub page NanoForkSpeed/Forks_Detection.</p> <p> </p>
Replication Package for: "Overcoming the gap between structured dependencies and change coupling"
<p>This datasets contains example projects that resulted from the empirical analysis of the history of object-oriented cyber-physical<br> systems: Glucosio/glucosio-android<sup>[1]</sup> , isl-org/OpenBot<sup>[2]</sup>, eclipse/concierge<sup>[3]</sup>, and WPIRoboticsProjects/GRIP<sup>[4]</sup>. It was created using our prototype tool <em>callgraphCA</em> to discover metrics of software changes, based on<br> call graph analysis and evolution and serve to display change coupling of artifacts and call graph evolution.</p> <p>Contained in the dataset are the databases generated by <em>callgraphCA </em>as well as example Notebooks that show the project results and <em>callgraphCA </em>libraries that support the analysis. For detailed information about <em>callgraphCA </em>visit <a href="https://github.com/GLopezMUZH/callgraphCA">GitHub: GLopezMUZH/callgraphCA</a></p> <p>[1] https://github.com/Glucosio/glucosio-android</p> <p>[2] https://github.com/isl-org/OpenBot/</p> <p>[3] https://github.com/eclipse/concierge</p> <p>[4] https://github.com/WPIRoboticsProjects/GRIP</p>
Relationship Between Poetic Meter and Meaning in Accentual-Syllabic Verse (data and replication code)
<ul> <li> <p><strong>main.py</strong>: script to train both lda and word2vec models</p> </li> <li> <p><strong>main.ipynb</strong>: Jupyter Notebook containing all the analyses reported in the paper</p> </li> <li> <p><strong>pos.ipynb</strong>: clustering based on frequencies of parts-of-speech</p> </li> <li><strong>corpora</strong>: contains original data for Czech, English, and Dutch poetry in JSON (proprietary German and Russian not included)</li> </ul> <pre><code>{ <= Each item in the following lists corresponds to particular poem and holds: 'words': [] <= list of lemmata found in the poem 'pos_tags': [] <= their POS-tags (Positional Morphological Tags for Czech, MyStem for Russian, TreeTagger tagsets for other corpora) 'meters': [[]] <= list of meters found in poem 'years': [] <= year when poem published (year when author born in case of English) 'n_words': [] <= number of words 'n_lines': [] <= number of lines 'authors': [] <= author of the poem 'titles': [] <= title of the poem 'schemes': [] <= line-ending schemes } </code></pre> <ul> <li><strong>dicts</strong>: contains Gensim dictionary files for all 5 corpora</li> </ul> <ul> <li><strong>fig</strong>: contains all resulting figures</li> </ul> <ul> <li><strong>json</strong> <strong>> metadata:</strong> contains all metadata on poems in particular corpora</li> </ul> <pre><code>{ <= Each item in the following lists corresponds to particular poem and holds: 'meters': [[]] <= list of meters found in poem 'years': [] <= year when poem published (year when author born in case of English) 'n_words': [] <= number of words 'n_lines': [] <= number of lines 'authors': [] <= author of the poem 'titles': [] <= title of the poem } </code></pre> <ul> <li><strong>json > topics:</strong> contains topic probabilities in particular poems</li> </ul> <pre><code>[ <= each item corresponds to particular poem and comprise 100-dimensional dict { 'topic title': its probability in poem } ] </code></pre> <ul> <li><strong>json > pos:</strong> contains POS relative frequencies in particular poems</li> </ul> <pre><code>[ <= each item corresponds to particular poem { 'POS': its frequency } ] </code></pre> <ul> <li><strong>json > w2v:</strong> contains mapping of lemmata and their neighbours in word2vec models</li> </ul> <ul> <li><strong>models</strong>: contains pretrained lda and word2vec models (Gensim)</li> <li><strong>regression</strong>: contains data and code to produce S5_table and S6_fig</li> </ul>
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>
Replication package of "The Chemical Origins of Plasma Contraction and Thermalization in CO2 Microwave Discharges" by A.W. van de Steeg et al.
<p>Title: The Chemical Origins of Plasma Contraction and Thermalization in CO2 Microwave Discharges<br> Authors: A.W. van de Steeg, L. Vialetto, A.F. Sovelas da Silva, P. Viegas, P. Diomede, M.C.M. van de Sanden, G.J. van Rooij<br> Journal: The Journal of Physical Chemistry Letters<br> Date: 2022-02-11<br> Description: <br> In this letter first Thomson scattering measurements in pure CO2 plasma were reported. The measurements show a thermalazation of electron temperature and gas temperature occurs with increasing pressure, coinciding with plasma contraction.<br> A 1D model is coupled with these measurements to elucidate the mechanisms behind both phenomena. Thus, it is revealed that associative ionization of radicals plays a crucial role. It connects thermal properties (gas temperature, heat and mass transport) with electon properties. <br> Access rights: Open<br> License: Creative Commons Attribution 4.0</p> <p><br> This replication package consists of the raw data used for the creation of each figure, ie measurement data, together with the python scripts used for data treatment.</p> <p>Most raw data is in the form of .spe files. The python library (by D.v.d. Bekerom) calibrate_fiber_pos is always used to read these camera images.</p> <p>The modelling data can be found separately in the publication of L. Vialetto (ref 20 in the Letter).<br> </p>
Data from: Metabarcoding of soil environmental DNA replicates plant community variation but not specificity
<blockquote> <p>While metabarcoding of plant DNA from their environment is an exciting method that can supplement inventorying of live plant species, the accuracy and specificity has yet to be fully assessed over complex continuous landscapes. In this work, we evaluate plant community profiles produced via metabarcoding of soil by comparing them to a morphological survey. We assessed plant communities by metabarcoding of soil DNA in 130 sites along ecological gradients (nutrients, succession, moisture) in Denmark using chloroplast <i>trn</i>L region (10-143 bp) primer set and compared the resulting communities to communities produced with a longer nuclear ITS2 region (~216 bp) and a morphological survey. We found that the community variation observed within the morphological survey was well represented by molecular surveys, with significant correlation with both community composition and richness using both primer sets. While the majority of the ITS2 sequences could be assigned to species (over 80%), we had less success with the <i>trn</i>L sequences (70%), which was only possible after restricting the reference database to local species. We conclude that the community profiles produced by metabarcoding can be highly effective in performing large-scale macroecological studies. However, the discovery rates and taxonomic assignments produced via metabarcoding remained inferior to morphological surveys, but manual curation of databases improves the <i>specificity</i> of assignments made by the <i>trn</i>L primers, and improves the <i>accuracy</i> of the assignments made with the ITS2 primers. Finally, we suggest that a greater percentage of named diversity would be recovered by increasing soil sampling with the use of additional universal primer sets.</p> </blockquote>
Replicated radiation of a plant clade along a cloud forest archipelago dataset
<p>Raw data complementary of https://github.com/eaton-lab/Orienotinus-phylogeny repository</p> <p>Assembly output of <em>Oreinotinus </em>species (<em>Viburnum</em>, Adoxaceae) using ipyrad pipeline and morphological matrix:</p> <p>List of files:</p> <ul> <li><code>full_dataset.loci</code> Custom format that shows each individual locus with variable sites indicated.</li> <li><code>full_dataset.phy </code>Concatenated RAD loci in Phylip format</li> <li><code>full_dataset.seqs.hdf5</code> Sequences formated as HDF5 file</li> <li><code>full_dataset.snps</code> Phylip files that includes only variable sites (SNPs)</li> <li><code>full_dataset.snps.hdf5</code> SNPs formated as HDF5 file</li> <li><code>full_dataset.snpsmap</code> Information about location (locus) of SNPs</li> <li><code>full_dataset_stats.txt</code> Statistics about the assembly</li> <li><code>leaf_traits_measurements.tsv</code> TSV file that contains leaf measurments used in the discriminant analyses.</li> <li><code>canopy_data.txt</code> Canopy cover data</li> <li><code>central_plateau_data.txt</code> Macroenvironmental data for the Chiapas central plateau</li> <li><code>full_distribution.txt</code> Specimen metadata and coordinates for all the points for Oreinotinus distribution</li> <li><code>leaf_wetness_temp.txt</code> Climate station data for leaf wetness, temperature</li> <li><code>leaf_traits_measurements.tsv</code> TSV file that contains leaf measurments used in the discriminant analyses.</li> <li><code>tree_accessions.txt</code> Species-level tree accessions with specimen metadata</li> </ul>
Replication files for "Comparing Online and Offline Political Support".
<p>The Zip-folder contains replication materials for the article "Comparing Online and Offline Political Support". The folder contains a readme with information and details on the replication data and scripts.</p>
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.