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Dataset for 2AFC experiment in Correspondence Orkzili-Cicchini
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(2) Correspondence-Henry Heuland-Natural History Museum London- DF1/7 Mineralogy correspondence
<p>Source:Correspondence-Henry Heuland-Charles Konig-Natural History Museum London- DF1/7 Mineralogy correspondence</p>
Datasets corresponding to "Direct evaluation of antiplatelet therapy in coronary artery disease by comprehensive image-based profiling of circulating platelets"
<p><strong>Datasets corresponding to "Direct evaluation of antiplatelet therapy in coronary artery disease by comprehensive image-based profiling of circulating platelets"</strong></p> <p><strong>02_CNN_PhenotypeClassif.7z</strong></p> <p>CNN Phenotype classification. Model was trained using AIDeveloper. using manually labelled data. Labelled Data is contained in folder "03_GatedData". The AIDeveloper session file in "02_Model\M10_Nitta6l_32pix_8class_meta.xlsx" shows, which files correspond to which subpopulation. The final model "M10_Nitta6l_32pix_8class_448.model" and corresponding .pb files are also located in that folder.</p> <p><strong>codeforclassification.zip</strong></p> <p>Code for applying model on unlabelled data. Test data is contained in 'sampledata.zip'</p> <p> </p> <p> </p> <p> </p>
TABLE 2. — Correspondences between the MNHN. F in Fossil wood from the lower Miocene of Myanmar (Natma Formation): palaeoenvironmental and biogeographic implications
<p>TABLE 2. — Correspondences between the MNHN.F specimen numbers cited in the article and the corresponding pages on https://science.mnhn.fr.</p><table><tbody><tr><th>Specimen numbers</th><th><b>Corresponding slides and URLs</b></th></tr></tbody><tbody><tr><th>MNHN. F.50171</th><td>MNHN. F.50171.1, 50171.2, 50171.3, 50171.4, 50171.5, 50171.6, 50171.7</td></tr><tr><th>MNHN. F.50172</th><td>MNHN. F.50172.1, 50172.2, 50172.3</td></tr><tr><th>MNHN. F.50173</th><td>MNHN. F.50173.1, 50173.2, 50173.3</td></tr><tr><th>MNHN. F.50174</th><td>MNHN. F.50174.1, 50174.2, 50174.3</td></tr><tr><th>MNHN. F.50175</th><td>MNHN. F.50175.1, 50175.2, 50175.3, 50175.4, 50175.5</td></tr><tr><th>MNHN. F.50176</th><td>MNHN. F.50176.1, 50176.2, 50176.3</td></tr><tr><th>MNHN. F.50177</th><td>MNHN. F.50177.1, 50177.2, 50177.3</td></tr><tr><th>MNHN. F.50178</th><td>MNHN. F.50178.1, 50178.2, 50178.3</td></tr><tr><th>MNHN. F.50179</th><td>MNHN. F.50179.1, 50179.2, 50179.3</td></tr><tr><th>MNHN. F.50180</th><td>MNHN. F.50180.1, 50180.2, 50180.3, 50180.4</td></tr><tr><th>MNHN. F.50181</th><td>MNHN. F.50181.1, 50181.2, 50181.3</td></tr><tr><th>MNHN. F.50182</th><td>MNHN. F.50182.1, 50182.2, 50182.3</td></tr><tr><th>MNHN. F.50183</th><td>MNHN. F.50183.1, 50183.2, 50183.3</td></tr><tr><th>MNHN. F.50184</th><td>MNHN. F.50184.1, 50184.2, 50184.3, 50184.4, 50184.5, 50184.6</td></tr><tr><th>MNHN. F.50185</th><td>MNHN. F.50185.1, 50185.2, 50185.3</td></tr><tr><th>MNHN. F.50186</th><td>MNHN. F.50186.1, 50186.2, 50186.3, 50186.4</td></tr><tr><th>MNHN. F.50187</th><td>MNHN. F.50187.1, 50187.2, 50187.3</td></tr><tr><th>MNHN. F.50188</th><td>MNHN. F.50188.1, 50188.2, 50188.3, 50188.4, 50188.5, 50188.6</td></tr><tr><th>MNHN. F.50189</th><td>MNHN. F.50189.1, 50189.2, 50189.3, 50189.4, 50189.5, 50189.6</td></tr><tr><th>MNHN. F.50190</th><td>MNHN. F.50190.1, 50190.2, 50190.3</td></tr><tr><th>MNHN. F.50191</th><td>MNHN. F.50191.1, 50191.2, 50191.3, 50191.4, 50191.5, 50191.6</td></tr><tr><th>MNHN. F.50192</th><td>MNHN. F.50192.1, 50192.2, 50192.3</td></tr><tr><th>MNHN. F.50193</th><td>MNHN. F.50193.1, 50193.2, 50193.3, 50193.4, 50193.5, 50193.6</td></tr><tr><th>MNHN. F.50194</th><td>MNHN. F.50194.1, 50194.2, 50194.3</td></tr><tr><th>MNHN. F.50195</th><td>MNHN. F.50195.1, 50195.2, 50195.3</td></tr><tr><th>MNHN. F.50196</th><td>MNHN. F.50196.1, 50196.2, 50196.3</td></tr><tr><th>MNHN. F.50197</th><td>MNHN. F.50197.1, 50197.2, 50197.3</td></tr><tr><th>MNHN. F.50198</th><td>MNHN. F.50198.1, 50198.2, 50198.3</td></tr><tr><th>MNHN. F.50199</th><td>MNHN. F.50199.1, 50199.2, 50199.3, 50199.4</td></tr><tr><th>MNHN. F.50200</th><td>MNHN. F.50200.1, 50200.2, 50200.3, 50200.4, 50200.5</td></tr></tbody></table>
Temperature data corresponding to "Hybrid Phenology Modeling for Predicting Temperature Effects on Tree Dormancy"
<p>MERRA2 Temperature data corresponding to "Hybrid Phenology Modeling for Predicting Temperature Effects on Tree Dormancy"</p>
Replication files for: Integrative modeling of the spread of serious infectious diseases and corresponding wastewater dynamics
<p>This repository contains the inputs used and outputs produced by the urban water management modelling software ++SYSTEMS for the paper Integrative Modeling of the Spread of Serious Infectious Diseases and Corresponding Wastewater Dynamics. It includes the following files:</p> <ol> <li>simulation_output.zip:</li> <ol> <li>In the subfolder infection_model, .csv and .txt files containing the agent-based model outputs for 250 simulations with homogeneous infection initialisation (2024_09_17) or localised infection initialisation (2024_10_15). These files were used as inputs for ++SYSTEMS.</li> <li>In the subfolder wastewater_model, .txt files containing the flow rates by pipe and the viral concentrations by sampling location for each combination of ABM simulation and rain/decay scenario. These files were the outputs of ++SYSTEMS.</li> </ol> <li>S1_INSIDe_Demonstrator_AreaList.txt: .txt file defining the area types and number of inhabitants for each surface area within the synthetic neighbourhood used in the paper. This file was also used as an input for ++SYSTEMS.<span> </span></li> <li>S2_systems_model_files.zip: .csv files defining the characteristics of the sewage system for the synthetic neighbourhood as well as the rain scenarios used in the paper. These file were also used as inputs for ++SYSTEMS.<span> </span></li> </ol>
TACO: a benchmark for connectivity-invariance in shape correspondence
<div> <h1>TACO: a benchmark for connectivity-invariance in shape correspondence</h1> </div> <p>In real-world scenarios, a major limitation for shape-matching datasets is represented by having all the meshes of the same subject share their connectivity across different poses. Specifically, similar connectivities could provide a significant bias for shape-matching algorithms, simplifying the matching process and potentially leading to correspondences based on recurring triangle patterns rather than geometric correspondences between mesh parts. As a consequence, the resulting correspondence may be meaningless, and the evaluation of the algorithm may be misled.<br>To overcome this limitation, we introduce TACO, a new dataset where meshes representing the same subject in different poses do not share the same connectivity, and we compute new ground truth correspondences between shapes. We extensively evaluate our dataset to ensure that ground truth isometries are properly preserved. We also use our dataset to validate state-of-the-art shape-matching algorithms, verifying a degradation in performance when the connectivity gets altered.</p> <p> </p> <h2><strong>Dataset structure</strong></h2> <ul> <li>offs: a directory containing all the triangular meshes in the dataset in <a href="https://en.wikipedia.org/wiki/OFF_(file_format)#:~:text=OFF%20(Object%20File%20Format)%20is,higher%2Ddimensional%20objects%20as%20well." target="_blank" rel="noopener">OFF file format</a></li> <li>pairs.txt: a list of all the 420 possible pairs of shapes in the dataset</li> <li>gt_matches: a directory containing all the ground truth correspondences listed in `pairs.txt` and stored in <a href="https://it.mathworks.com/help/matlab/apiref/matfileapi.html">MAT file format</a></li> </ul>
Dataset corresponding to "Comprehensive analysis of a dense sample of FRB 121102 bursts"
<p>Raw dataset corresponding to publication: <a href="https://ui.adsabs.harvard.edu/abs/2021arXiv210705658A/abstract">"Comprehensive analysis of a dense sample of FRB 121102 bursts"</a>. The dataset consists of raw filterbank format files from the two observations.</p>
Figure 10 in Review of specimens corresponding to three species of Thyene (Araneae: Salticidae: Plexippini) in the Peckham Collection
Figure 10. Ventral view of epigyna of female Thyene pulchra (anterior toward the top of the page). 1-6, All six syntypes from the Peckham Collection (MCZ:IZ:22787). 7-8, Two additional females from the Peckham Collection (MCZ:IZ:151905). 9, Drawing of the epigynum published by the Peckhams (1903, pl. XXV, fig. 3A). This compares with (3), with the anterior direction toward the bottom of the page.
Figure 9 in Review of specimens corresponding to three species of Thyene (Araneae: Salticidae: Plexippini) in the Peckham Collection
Figure 9. Dorsal opisthosoma of the female Thyene pulchra. 1-3, Syntypes from Durban (MCZ:IZ: 22787). 4, Another female from Durban (MCZ:IZ:151905). 5, Drawing by Peckham & Peckham (1903, pl. XXV, fig. 3).
Figure 8 in Review of specimens corresponding to three species of Thyene (Araneae: Salticidae: Plexippini) in the Peckham Collection
Figure 8 (continued from previous page). Ventral view of the epigynum of Thyene ogdeni in the Peckham collection. Sclerotization of the rim of the plate may not have been visible in these specimens when the Peckhams viewed them.
Figure 3 in Review of specimens corresponding to three species of Thyene (Araneae: Salticidae: Plexippini) in the Peckham Collection
Figure 3. Ventral view of endites and chelicerae of three male specimens labeled Thyene crudelis from the Peckham Collection (1, 2, 3-5; MCZ:IZ:20956), with the Peckhams' published drawings of the underside of tibia I (6) and the labium, endites and chelicerae (7). 4, In male #3 the large tooth on the posterior margin of the fang groove was rounded in outline, but as in other specimens the tooth on the anterior margin was bicuspid (two-pointed) as drawn by the Peckhams.
Figure 1 in Review of specimens corresponding to three species of Thyene (Araneae: Salticidae: Plexippini) in the Peckham Collection
Figure 1. Drawings of male and female Thyene coccineovittata (Simon 1886) by Berland & Millot (1941), with figure numbers from the original publication shown in rectangles. The male (71A, 70A-C) resembles T. crudelis, although the RTA (70A) is significantly larger here than shown by the Peckhams, and the endites (70B) shown by the Peckhams did not have a lateral projection. Berland & Millot recognized the female T. ogdeni as the female of this species (or a subspecies), although the drawings that they published (71B, 72A) do not agree with either the descriptions or the specimens held by the Peckhams for that species. The female shown in (71B) resembles the female T. pulchra, but the epigynum shown in (72A) might represent any of several different species of Thyene.
Figure 5 in Review of specimens corresponding to three species of Thyene (Araneae: Salticidae: Plexippini) in the Peckham Collection
Figure 5. First male Thyene ogdeni from the Peckham Collection (1-2; 4-6; MCZ:IZ:151907), with drawings (Peckham & Peckham 1903) that appear to represent this specimen (3, 7-8). 4-6, Mirror images of right pedipalp. 7, Tibia of pedipalp showing long, serrated RTA. 8, Underside of Tibia I.
GC-MS data corresponding to: Methanol-Based Esterification of Palm Oil Sludge – Preparation of Fatty Acids (Palmitic and Oleic) Ethyl Esters via Ethyl Acetate Transesterification by Javier Chaparro-Acosta and Juan-Manuel Urbina-González
<p>GC-MS data corresponding to:</p> <p>Methanol-Based Esterification of Palm Oil Sludge – Preparation of Fatty Acids (Palmitic and Oleic) Ethyl Esters via Ethyl Acetate Transesterification<br> by<br> Javier Chaparro-Acosta<sup>(1)</sup> and Juan-Manuel Urbina-González<sup>(2*)</sup></p> <p><sup>1</sup>Escuela de Ingeniería Química, Universidad Industrial de Santander, Bucaramanga, 680002, Colombia<br> <sup>2</sup>Escuela de Química, Universidad Industrial de Santander, Bucaramanga, 680002, Colombia<br> * Correspondence: jurbina@uis.edu.co<br> <br> <strong>Abstract</strong><br> Acid catalyzed Fischer esterification of fatty acids using methanol (as reagent and solvent) allow the preparation of long chain alkyl methyl esters. Transesterification of palm oil in basic media using methanol is also a known path to monoalkyl methyl ethers derived of fatty acids. In this work we report the Fischer esterification using methanol of a sample of local palm oil sludge (a fraction rich in fatty acids) and how during the extraction with ethyl acetate a transesterification reaction occurred, allowing the preparation of ethyl esters of oleic and palmitic acids as main compounds.</p> <p> </p>
Corresponding Dataset of Advanced Water Vapor Radiometer Data for Juno Gravity Science
<p><br> Corresponding Dataset of Advanced Water Vapor<br> Radiometer Data for Juno Gravity Science<br> Troposphere Calibrations<br> README FILE<br> Dustin Buccino<br> August 24, 2021<br> Jet Propulsion Laboratory<br> California Institute of Technology</p> <p>=============================================================================<br> INTRODUCTION<br> =============================================================================</p> <p> This dataset contains high rate data collected by the Advanced Water<br> Vapor Radiometer (AWVR) at the Deep Space Network's Goldstone Complex in <br> California. This dataset is provided in order to supplement the submitted<br> article to the "Radio Science" journal</p> <p> Buccino, D.R., et al (2021), Performance of Earth Troposphere <br> Calibration Measurements with the Advanced Water Vapor Radiometer <br> for the Juno Gravity Science Investigation, Radio Science, submitted<br> October 2021.</p> <p> ******************************************************************<br> * ANY USERS OF JUNO GRAVITY SCIENCE DATA ARE HIGHLY ENCOURAGED *<br> * TO INSTEAD REFER TO THE OFFICIAL ARCHIVE ON THE NASA PLANETARY *<br> * DATA SYSTEM. THIS SUPPLEMENTAL DATA SET DOES NOT CONTAIN ANY *<br> * GRAVITY SCIENCE DATA; IT ONLY CONTAINS HIGHER RATE AWVR DATA *<br> ******************************************************************</p> <p> Additional Juno Gravity Science Data may be found at the Planetary Data<br> System:</p> <p> Buccino, D. R. (2016). Juno jupiter gravity science raw data set <br> V1.0, JUNO-J-RSS-1 JUGR-V1.0, NASA planetary data system (PDS). <br> Retrieved from https://atmos.nmsu.edu/PDS/data/jnogrv_1001/<br> </p> <p>=============================================================================<br> ARCHIVE INFORMATION<br> =============================================================================</p> <p> This archive contains several data types, located within subdirectories.<br> <br> ROOT<br> `- PJ03/<br> <br> This directory contains all PJ-03 related data, including<br> path delay, path delay rate, calibration values, and frequency<br> residuals.<br> <br> `- PJ06/<br> <br> This directory contains all PJ-06 related data, including<br> path delay, path delay rate, and calibration values.<br> <br> `- PJ08/<br> <br> This directory contains all PJ-08 related data, including<br> path delay, path delay rate, and calibration values.<br> <br> `- ADEV/<br> <br> This directory contains troposphere scintillation Allan deviations<br> from each perijove. Files are named using the start time of the file,<br> in YYYYMMDDHHMM format, where YYYY is the year, MM is the month,<br> DD is the day of month, HH is the hour, and MM is the minute.<br> <br> `- STATS/<br> <br> This directory contains the Juno perijove frequency residual <br> statistics. Only one file is present in this directory.</p> <p>=============================================================================<br> FILE FORMAT<br> =============================================================================</p> <p> This dataset contains two separate file formats as described below.<br> ASCII plain-text files are given with the "*.txt" extension and the<br> comma-separated text files are given with the "*.csv" extension.</p> <p><br> TXT FILES<br> -------------------------------------------------------------------------</p> <p> The ASCII plain-text files are human-readable, space-delimited<br> text files. Each column is defined by a header row which provides<br> a description of each column. Additional comments may be optionally<br> specified by starting a row with the character "#".</p> <p> CSV FILES<br> -------------------------------------------------------------------------</p> <p> The Comma-Separated Value (CSV) files are plain-text files. Values in<br> each data file are separated using a comma ",". Each column is defined <br> by a header row which provides a description of each column.</p> <p><br> =============================================================================<br> FIGURE REPRODUCTION<br> =============================================================================</p> <p> This section will describe the data that are used to produce the figures<br> in the article that describes this dataset.</p> <p> FIGURE 1<br> -------------------------------------------------------------------------</p> <p> Figure 1 is a photograph and is not included in this dataset.</p> <p> FIGURE 2<br> -------------------------------------------------------------------------</p> <p> Figure 2 is produced using files within the "PJ03", "PJ06", and "PJ08"<br> directories.<br> <br> The first row of subfigures are produced by plotting the final three <br> columns of "pjXX_bt_zenith.txt" as a function of time.<br> <br> The second row of subfigures are produced by plotting the path delay<br> componets as a function of time from the "pjXX_pd_awvr.txt" and <br> "pjXX_pd_tsac.txt" data files.</p> <p><br> FIGURE 3<br> -------------------------------------------------------------------------</p> <p> Figure 3 is produced using files within the "PJ03", "PJ06", and "PJ08"<br> directories.<br> <br> The first row of subfigures are produced by plotting the last column<br> of "pjXX_freq_awvr.txt" and "pjXX_freq_tsac.txt".<br> <br> The second row of subfigures are produced by differencing the values.<br> <br> FIGURE 4<br> -------------------------------------------------------------------------</p> <p> Figure 4 is produced using files within the "ADEV" directory.<br> <br> Each individual file within the "ADEV" directory contains the Allan <br> deviation. Each Allan deviation is plotted on a log-log scale and is<br> color-mapped to the calendar date. The file naming convention gives<br> the calendar date of data collection, with the filenames starting with<br> YYYYMMDD, where YYYY is 4-digit year, MM is 2-digit month, and DD is<br> 2-digit day of month in UTC time.</p> <p> FIGURE 5<br> -------------------------------------------------------------------------</p> <p> Figure 5 is produced using files within the "PJ03" directory. The<br> frequency residual from the "pj03_resid_awvr.csv" and<br> "pj03_resid_tsac.csv" is simply plotted as a function of time.<br> <br> FIGURE 6<br> -------------------------------------------------------------------------</p> <p> Figure 6 is produced using files within the "STATS" directory. This <br> directory contains a single file, "AWVR_stats_jul2021_v3.csv" and<br> contains the root-mean-square of the frequency residuals from Juno <br> perijove passes. The root-mean-square of the frequency residuals<br> are plotted using a bar plot and the percent improvement is plotted <br> with a scatterplot.<br> </p> <p>=============================================================================<br> ACKNOWLEDGMENTS<br> =============================================================================</p> <p>This work was carried out at the Jet Propulsion Laboratory, <br> California Institute of Technology, under contract with the National <br> Aeronautics and Space Administration. Government sponsorship acknowledged.</p> <p>=============================================================================<br> PRIMARY POINT OF CONTACT<br> =============================================================================</p> <p>Dustin Buccino<br> Jet Propulsion Laboratory<br> Planetary Radar and Radio Sciences<br> (818) 393 - 1072<br> Dustin.R.Buccino@jpl.nasa.gov</p> <p>=============================================================================<br> ACRONYMS AND ABBREVIATIONS<br> =============================================================================</p> <p> ASCII American Standard Code for Information Interchange<br> DOY Day of year<br> DSN Deep Space Network<br> JPL Jet Propulsion Laboratory<br> NAIF Navigation Ancillary Information Facility<br> NASA National Aeronautics and Space Administration<br> PDS Planetary Data System<br> RS Radio Science<br> RSS Radio Science Subsystem<br> SIS Software Interface Specification<br> TXT Text file<br> UTC Universal Time, Coordinated<br> </p>
BUKTI CORRESPONDING AUTHOR IGNATIA MARTHA HENDRATI Email: ignatia.hendrati.ep@upnjatim.ac.id Journal Cogent Business and Management The Role of Moderation Activities The Influence of The Audit Committee And The Board Of Directors on The Planning of The Sustainability Report
<p><strong>The Role of Moderation Activities The influence of the Audit Committee and the Board of Directors on the Planning of the Sustainability Report</strong></p> <p><strong>Abstract</strong></p> <p>In order to show the consistency of agency theory as a theory to explain the influence of the Audit Committee and the Board of Directors on Sustainability, this study will explore the role of moderating actions of the Audit Committee and the Board of Directors on Sustainability. The firms that make up the demographic and research sample for this study, which uses a quantitative technique, are those that are included in the Jakarta Islamic Index for the years 2017 through 2021. the study's yearly financial report panel data. The data analysis methods employed in this study were robust, fixed effects, random effects, and ordinary least square regression. These methods are one of the regression solution approaches that may be used with a lot of flexibility in research that combines thoughts, ideas, and facts. The first study found that the audit committee had an effect on sustainability, whereas the second found that the board of directors has no effect. Due to the third and fourth conclusions of the role of activities, the audit committee and board of directors are less strong on sustainability.</p> <p><strong>Keywords </strong>: Activity; Board of Directors; Sustainability; Audit Committee; Stata</p> <p><strong>JEL Classification: </strong>G32, G02, M1, G34, Z1</p>
Prostate MRI T2-weighted images with peripherial and trasition zone segmentations including corresponding PIRADS and PSA values
<p>This dataset contains 114 t2-weighted MRI images of the prostate with corresponding segmentations.The segmentations include two labels, 1 - Transition Zone, 2 - Peripherial Zone. Most of the images include corresponding PIRADS and PSA values, which are available in the file PSA_PIRADS.csv.</p> <p>For more information concerning the images, see the following article.</p> <p>Please cite the following articles, if you are using this dataset:</p> <p>Gibala, S.; Obuchowicz, R.; Lasek, J.; Schneider, Z.; Piorkowski, A.; Pociask, E.; Nurzynska, K. Textural Features of MR Images Correlate with an Increased Risk of Clinically Significant Cancer in Patients with High PSA Levels. <em>J. Clin. Med.</em> <strong>2023</strong>, <em>12</em>, 2836. https://doi.org/10.3390/jcm12082836</p> <p>Gibała, S.; Obuchowicz, R.; Lasek, J.; Piórkowski, A.; Nurzynska, K. Textural Analysis Supports Prostate MR Diagnosis in PIRADS Protocol. <em>Appl. Sci.</em> <strong>2023</strong>, <em>13</em>, 9871. https://doi.org/10.3390/app13179871</p>
ERRATAS database of editorial principles and practices in printed editions of historical correspondence
<p>The ERRATAS database is the primary output of the ERRATAS project, which surveyed all the sources of the <a href="http://www.helsinki.fi/varieng/CoRD/corpora/CEEC/"><em>Corpora of Early English Correspondence</em></a> (CEEC-400) in order to investigate their editorial principles and practices. These sources are mostly printed editions of English historical correspondence.</p> <p>The data in the ERRATAS database consists of surveys of:</p> <ul> <li>editorial principles (explicit statements or anything resembling such);</li> <li>editorial practices (textual features that can be found in the edited texts);</li> <li>editorial work (evidence of contributors other than the stated editor(s)).</li> </ul> <p>This updated release of the database is in the form of <strong>two MS Excel files</strong>, one of which includes data entry forms for surveying editorial principles and practices.</p> <p>This release also comes with documentation, in the form of <strong>three pdf files</strong>:</p> <ul> <li>A <strong>manual</strong> to the database, containing a brief history of the project, and a section demonstrating with several graphs what kinds of data can be extracted from the dataset;</li> </ul> <p>and two documents which place the database into the context of its development, but more importantly facilitate the application of the ERRATAS method to survey further material:</p> <ul> <li>A <strong>checklist</strong> of textual features (<a href="https://zenodo.org/record/1187074">an earlier version can be found here</a>); and</li> <li><strong>Guidelines</strong> for surveying editorial principles and edited texts following the ERRATAS system.</li> </ul> <p><strong>Related material:</strong></p> <ul> <li><a href="https://doi.org/10.5281/zenodo.3855451"><em>Corpus of Editorial Principles (in CEEC-400 Sources)</em></a> – pdfs of the editorial principles in the editions surveyed</li> <li><a href="https://www.doi.org/10.5281/zenodo.4134471">Editions and other sources used in the <em>Corpora of Early English Correspondence</em> (CEEC-400)</a> – detailed bibliography of the sources surveyed for the ERRATAS database</li> <li>Sairio, Anni, Samuli Kaislaniemi, Anna Merikallio & Terttu Nevalainen. 2018. “Charting orthographical reliability in a corpus of English historical letters”. <em>ICAME Journal</em> 42: 79–96. DOI: <a href="http://doi.org/10.1515/icame-2018-0005">doi.org/10.1515/icame-2018-0005</a>. Open access.</li> </ul> <p><strong>Version history:</strong></p> <p>26.5.2020 Version 0.9 – Database unfinished (due to coronavirus restrictions). The current data has been checked twice. Material to be added in v1.0: database manual; database survey guidelines.</p> <p>14.4.2023 Version 1.1 – Database finished, after conversion to MS Excel. Dataset checked, corrected, amended, edited, and cleaned for release. Documentation created. Survey guidelines and data survey forms included in release.</p>
Data corresponding to "Disparities in disruptions to public drinking water service in Texas communities during Winter Storm Uri 2021"
<p><strong>Contents:</strong></p> <p><strong>TX_pws_data_uri_zenodo.csv</strong>: This dataset was generated by integrating information on community public water systems (PWSs) from the Texas Commission of Environmental Quality (TCEQ) and Texas Water Development Board's water service boundary viewer, weather data from the National Oceanic and Atmospheric Administration (NOAA), and demographic information from the US Census Bureau's 2010 Decennial Census. More information is available in:<br> Tomko, Brianna, 2022, Public drinking water access in Texas communities during Winter Storm Uri 2021, Bachelor Thesis, The Ohio State University, Columbus. </p> <p><strong>readme_for_TX_pws_data_uri_zenodo.txt</strong>: Explains contents of TX_pws_data_uri_zenodo.csv.</p> <p><strong>WaterOutageSurvey-PeopleOnPublicWaterSystems.xlsx</strong>: This dataset was generated as part of a cross-sectionally survey of people living in Texas during Winter Storm Uri.</p> <p>More information on all datasets is available in:</p> <p>Tomko, B., C.L. Nittrouer, X. Sanchez-Vila, and A.H. Sawyer. (2023) "Disparities in disruptions to public drinking water services in Texas communities during Winter Storm Uri 2021," provisionally accepted at PLOS Water, doi: 10.1371/journal.pwat.0000137.</p>
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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.