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219 results for “phd”
Accompanying data for the PhD thesis 'Nanomaterial safety for microbially-colonized hosts'
<p><strong>These files include all data presented in chapter 6 of the dissertation:</strong></p> <p><strong>"Nanomaterial safety for microbially-colonized hosts: microbiota-mediated physisorption interactions and particle-specific toxicity" by Bregje Brinkmann (2022).</strong></p> <p>The data presented in chapters 2-5 have previously been published elsewhere:</p> <ul> <li>Chapter 2: <em>Zenodo</em> (DOI: <a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.5281%2Fzenodo.6800734&data=05%7C01%7Cb.w.brinkmann%40cml.leidenuniv.nl%7Cb5837fcc5a1b4cb5e88008da7615fe87%7Cca2a7f76dbd74ec091086b3d524fb7c8%7C0%7C0%7C637952134073527979%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=z4LB7Ziyiy%2BLXe0SllX67AJ%2F9zhfARBXp8QNzZsVg%2B4%3D&reserved=0">10.5281/zenodo.6800734</a>).</li> <li>Chapter 3: <em>Mendeley</em> <em>Data</em> (DOI: <a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.17632%2F2d4hcr5cb5.1&data=05%7C01%7Cb.w.brinkmann%40cml.leidenuniv.nl%7Cb5837fcc5a1b4cb5e88008da7615fe87%7Cca2a7f76dbd74ec091086b3d524fb7c8%7C0%7C0%7C637952134073527979%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=x7LFz2OgiJ20%2BD18QlwR9qIwGH%2BCbju4BKqkUaqIoXs%3D&reserved=0">10.17632/2d4hcr5cb5.1</a>)</li> <li>Chapter 4: <em>Figshare</em> (DOI: <a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.6084%2Fm9.figshare.c.4923261&data=05%7C01%7Cb.w.brinkmann%40cml.leidenuniv.nl%7Cb5837fcc5a1b4cb5e88008da7615fe87%7Cca2a7f76dbd74ec091086b3d524fb7c8%7C0%7C0%7C637952134073527979%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=n3wegOuHzKihCO%2FKbZhClnYHPyxWI0cALApBgLkUHnQ%3D&reserved=0">10.6084/m9.figshare.c.4923261</a>)</li> <li>Chapter 5: <em>Mendeley Data </em>(DOI: <a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.17632%2F4nfg69v8hy.1&data=05%7C01%7Cb.w.brinkmann%40cml.leidenuniv.nl%7Cb5837fcc5a1b4cb5e88008da7615fe87%7Cca2a7f76dbd74ec091086b3d524fb7c8%7C0%7C0%7C637952134073527979%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=0A0ktYDmgfxwc7U%2BgzHzQUj8Q5wixi%2BUzoSzMctlbso%3D&reserved=0">10.17632/4nfg69v8hy.1</a>)</li> </ul> <p><br> <strong>1. Data presented in Figure 6.1:</strong> Survival_CFU_(...)<br> Tab-delimited file with zebrafish larvae survival, and the number of colony-forming units (CFUs) associated with zebrafish larvae, following exposure to silver nanoparticles (nAg) from 3-5 days-post fertilization (dpf):</p> <ul> <li><em>Concentration</em>: Nominal exposure concentration (mg nAg·L<sup>-1</sup>).</li> <li><em>Date</em>: The date at which the mortality was scored (Format: DD/MM/YYYY). </li> <li><em>Family</em>: A code referring to the aquarium of wildtype zebrafish (ABxTL) that were crossed to obtain the larvae for the experiment. </li> <li><em>Survival</em>: Percentage of larvae that had survived the treatment.</li> <li><em>CFU</em>: Number of colony-forming units that was isolated per larva</li> </ul> <p>The methodology for toxicity tests and the procedures to determine CFU counts, have been published in <em>Nanotoxicology</em>:</p> <p>Brinkmann BW, Koch BEV, Spaink HP, Peijnenburg WJGM, Vijver MG. 2020. Colonizing microbiota protect zebrafish larvae against silver nanoparticle toxicity. Nanotoxicology. 14: 725-739. DOI: <a href="http://doi.org/10.1080/17435390.2020.1755469">10.1080/17435390.2020.1755469</a></p> <p> </p> <p><strong>2. Data presented in Figure 6.2:</strong> ABs_DoseResponses_(...)<br> Tab-delimited file with zebrafish larvae mortality following a pretreatment of 0, 6 or 72 hours with an antibiotic and antifungal cocktail, and subsequent exposure to nAg from 3-5 dpf:</p> <ul> <li><em>Concentration</em>: Nominal exposure concentration (mg nAg·L<sup>-1</sup>). </li> <li><em>Mortality</em>: Percentage of larvae that had died.</li> <li><em>Date</em>: The date at which the mortality was scored (Format: DD/MM/YYYY).</li> <li><em>Family</em>: A code referring to the aquarium of wildtype zebrafish (ABxTL) that were crossed to obtain the larvae for the experiment. </li> <li><em>ABs</em>: Duration of the antibiotic/ antifungal pretreatment, either 0, 6 or 72 hours.</li> </ul> <p> </p> <p><strong>3. Data presented in Figure 6.3:</strong> il1beta_eGFP_(...)<br> Three folders comprising fluorescence microscopy images (TIFF format) of il1beta:eGFP reporter zebrafish larvae at 5 dpf:</p> <ul> <li><em>(...)_replicates1_20200226</em>: images for the first experimental replicate.</li> <li><em>(...)_replicates2_20200304</em>: images for the second experimental replicate.</li> <li><em>(...)_replicates3_20200318</em>: images for the third experimental replicate.</li> </ul> <p>For each of the replicates, the following images were acquired:</p> <ul> <li><em>nZnO_GFP</em>: GFP signal for larvae exposed to nZnO.</li> <li><em>Znion_GFP</em>: GFP signal for larvae exposed to zinc ions.</li> <li><em>nZnO_trans</em>: transmitted light images for larvae exposed to nZnO. </li> <li><em>Znion_trans</em>: transmitted light images for larvae exposed to zinc ions.</li> </ul> <p>Additionally, the following images have previously been deposited to <em>Mendeley Data </em>(DOI: <a href="http://doi.org/10.1016/j.ecoenv.2022.113522">10.17632/4nfg69v8hy.1</a>):</p> <ul> <li><em>nAg_GFP</em>: GFP signal for larvae exposed to nAg.</li> <li><em>nAg_trans</em>: transmitted light images for larvae exposed to nAg.</li> <li><em>Agion_GFP</em>: GFP signal for larvae exposed to silver ions.</li> <li><em>Agion_trans</em>: transmitted light images for larvae exposed to silver ions.</li> <li><em>control_GFP</em>: GFP signal for control larvae that had not been exposed to silver ions or nAg</li> <li><em>control_trans</em>: transmitted light images for control larvae that had not been exposed to silver ions or nAg.</li> </ul> <p>All image processing steps have been published in <em>Ecotoxicology and Environmental Safety</em>:</p> <p>Brinkmann BW, Koch BEV, Peijnenburg WJGM, Vijver MG. 2022. Microbiota-dependent TLR2 signaling reduces silver nanoparticle toxicity to zebrafish larvae. Ecotox Environ Saf. 237: 113522. DOI: <a href="http://doi.org/10.1016/j.ecoenv.2022.113522">10.1016/j.ecoenv.2022.113522</a></p> <p> </p> <p><strong>Abbreviations:</strong></p> <ul> <li><em>ABs</em>: antibiotics</li> <li><em>CFU</em>: colony-forming units</li> <li><em>dpf</em>: days post-fertilization</li> <li><em>il1beta</em>: interleukin-1beta</li> <li><em>nAg</em>: silver nanoparticles (NM-300 K)</li> <li><em>nZnO</em>: zinc oxide nanoparticles (NM-110)</li> </ul>
Data from a three-phase Delphi study used to investigate Knowledge Infrastructure for Research Data in Norway, KIRDN_Data; PhD project
<p>A modified three-phase Delphi study was used to explore the knowledge infrastructure for research data in Norway. The study includes different stakeholders involved in research data sharing. A Delphi study is characterised by the use of an expert panel to elicit opinions on a shared reality from different perspectives. Data collection is performed in several rounds with the intention of reaching consensus or solving an issue. </p> <p>A group of 24 experts took part in the study. The group consisted of policy-makers, representatives of national service providers, and researchers and research support staff from four Norwegian universities. The participants were invited based on their involvement in the development of policies, infrastructure or data-related research support. The research support staff were recruited to include representatives from different research support services at the universities, including libraries, research offices and IT departments. While the researchers were selected from based on their receival of EU funding with requirements of data management plans.</p> <p>Data were collected in three phases. The first phase, the ‘exploration phase’, was conducted using open interviews lasting approximately one hour in January/February 2018. The purpose of this phase was to obtain an initial overview of the panel members opinions’ on issues regarding research data management.</p> <p>In the second phase, the ‘evaluation phase’, conducted in August/September 2018, participants answered a survey containing nine questions on topics such as data stewardship, DMPs, ethical aspects of data sharing and core functions in a research data infrastructure. The survey was designed to further explore issues and tensions uncovered in the first interviews. Several of the questions were formulated as statements that the participants were asked to agree or disagree upon. </p> <p>The third, ‘concluding phase’ was conducted using interviews in March/April 2019. These interviews lasted approximately 30 minutes and were based on results from the questionnaire as well as the first interview. Participants were asked whether they had thoughts on the preliminary findings of the study. </p> <p>Based on requests from some of the participants, the questions were sent to all participants prior to the data collection, in all three phases. The participants were also sent the transcripts from the interviews and were asked for permission to share the complete material or parts of the data material to which they contributed. </p>
Raw sequencing data PhD Mixoplankton spatio-temporal diversity and its environmental drivers in the North Sea
<p>Raw sequencing data PhD Mixoplankton spatio-temporal diversity and its environmental drivers in the North Sea</p>
Online Appendix for PhD Thesis Titled "Dissecting Causal Relationships and Molecular Mechanisms in Disease using Genetic Risk Profiles"
<p>This repository contains 23 tables and two figures, which are too big to be included in the Appendix section of my thesis document.</p> <p>The second version includes additional summary statistics of metabolite-PGS associations which can be found at http://mrcieu.mrsoftware.org/metabolites_PRS_atlas/.</p>
Supplementary Material to the PhD Thesis of Luz, Zoneibe (University of Lausanne): Characterizing conodont bioapatite from the Early-Triassic: an analytical and palaeoclimatological approach
<p>The present dataset contains the Supplements cited in the PhD Thesis of Zoneibe Augusto Silva Luz (University of Lausanne), entitled '<em>Characterizing conodont bioapatite from the Early-Triassic: an analytical and palaeoclimatological approach</em>', defended the 29th of June in Lausanne. Three table of contents (TOC) are provided for each of the three thesis chapters. The main thesis is deposited at the Bibliothèque cantonale et universitaire de Lausanne, Section des thèses imprimées et des échanges,and digitally at the SERveur Académique Lausannois (Serval) ().</p> <p>Le présent set de données contient les Suppléments cités dans la thèse de doctorat de Zoneibe Augusto Silva Luz (Université de Lausanne), intitulée 'Characterizing conodont bioapatite from the Early-Triassic : an analytical and palaeoclimatological approach', soutenue le 29 juin à Lausanne. Trois tables des matières (TOC) sont fournies pour chacun des trois chapitres de la thèse. La thèse principale est déposée dans la Bibliothèque cantonale et universitaire de Lausanne, Section des thèses imprimées et des échanges, et électroniquement dans le SERveur Académique Lausannois (Serval) ().</p>
M. Kelly PhD thesis; Chapter 4 - Supplemental Table S1
<p>Supplemental Table for my PhD thesis (Chapter 4). Supplemental Table S1 contains all data relevant to the predator choice tests.</p>
Wordlist files of lexical data from Papua New Guinea and western Solomons Oceanic languages collated for Ross's 1986 PhD thesis and 1988 publication thereof
<p>It occurs to me that the files containing Western Oceanic lexical data that I collected in the late 70s/early 80s for my PhD (Ross 1988) might be useful to someone. They are also used in the volumes of <em>The lexicon of Proto Oceanic </em>(Ross, Pawley & Osmond 1998, 2003, 2011, 2016, 2023). In any case, it is right that they be made publicly available, something that wasn't so easy back then. Most of the material is from wordlists that I collected during fieldwork in Papua New Guinea from around 1978 to 1982. The file cor06 is omitted because it contains SE Solomonic data (outside Western Oceanic) drawn from Tryon & Hackman 1983.</p> <p>I keyed the data into text files in a format such that each line was the entry for a single word, and each field within an entry was marked by a backslash code (I adapted this format from SIL's conventions at the time), then arranged them in cognate sets, each set separated from the next by an empty line. This work was done between 1983 and 1985, when text files were the best way to store data. They were entered on a terminal connected to a mainframe computer at the ANU. I have converted the ASCII symbols used in the original files into UTF-8 here in the interests of readability. The conversion was largely automatic, and I have not done a full check of each file, so there may be glitches.</p> <p>Each file contains languages from a region, as listed below (and the regions sometimes cut across subgroups determined by the comparative method). Three-letter abbreviations are used for language names, and two key files are also provided, one (COR-abbrevs) ordered by regions (determined by the numerals that start each line), the other by alphabetical order of language name (COR-abbrevs-alph). Some three-letter codes are followed by a hyphen and an extra letter. These are dialects. For example, MUM stands for Mumeng and MUM-P for the Patep dialect of Mumeng.</p> <p>Data files are labelled with COR (for 'correspondence sets') plus a numeral. The numerals are: 1-3 New Ireland; 4 Willaumez Peninsula (New Britain) area; 5 NW Solomonic; 7+8 Papuan Tip; 9 Vitiaz Strait area and NG north coast; 10 Huon Gulf and Markham Valley; 11 South and west New Britain. 7+8 are partial only. When I keyed the files, I had to rely on a mainframe's nightly back-up onto tape spools. One night the system failed, and so did the restore, and I lost some data.</p> <p>The backslash codes in the data files are: \l language; \p protolanguage; \w word; \g gloss; \n note; \s source. The formatting of these files is a little odd, since they served as input to routines I wrote to pull out sound correspondences. Anything after '%' is the elicited form: what immediately precedes '%' has had something 'undone', e.g. metathesis.</p> <p>The orthography of the files is phonemic and largely obvious. The conventions are set out in the introductions to the volumes of <em>The lexicon of Proto Oceanic.</em></p> <p>Finally, the files also contain reconstructions at various interstages at the top of a cognate set. These were inserted for heuristic reasons during my research. Many of them did not survive into my PhD thesis, and they should preferably be ignored. The reader who is interested in current Oceanic reconstructions should turn to the volumes of <em>The lexicon of Proto Oceanic.</em></p>
Genome assemblies of four MDR B. fragilis isolates using PacBio data - supporting the PhD Thesis
<p>Unicycler and Canu assemblies using PacBio data of four MDR B. fragilis isolates.</p> <p>Data supporting the PhD Thesis <em>Epidemiology and Genomics of antimicrobial resistance in the Bacteroides fragilis group </em>by Thomas Vognbjerg Sydenham, The research unit of Clinical Microbiology, Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark September 2019.</p> <p> </p>
Original dataset for "A validation of co-authorship credit models with empirical data from the contributions of PhD candidates"
<p><strong>Publication reference:</strong><br> Donner, P. (2020). A validation of co-authorship credit models with empirical data from the contributions of PhD candidates. Quantitative Science Studies, v. 1, i. 2, p. 551-564. <a href="https://doi.org/10.1162/qss_a_00048">https://doi.org/10.1162/qss_a_00048</a>.</p> <p> </p> <p>The file contains one row per authorship contribution statement. Rows of publications and theses are grouped.</p> <p><strong>Description of columns:</strong></p> <p>dissertation_id - an integer identifying each dissertation thesis</p> <p>university - university at which the dissertation thesis was written and PhD degree conferred</p> <p>year - publication year of the dissertation thesis</p> <p>author - dissertation thesis author name</p> <p>title - dissertation thesis title</p> <p>subject - the field of research</p> <p>publication_id - an integer identifying each publication; publication associated with more than one thesis have the same id across theses</p> <p>reference - bibliographic reference for the publication associated with the thesis</p> <p>author_count - number of authors of the publication</p> <p>author_position - position in the author byline of the credited author</p> <p>credit - claimed credit of the author in percent</p> <p>corresponding_author - flag for whether the publication author of this row is a orresponding author</p>
Data for H Wierstorf, Perceptual Assessment of Sound Field Synthesis, PhD thesis, TU Berlin, (2014)
<p>This publication contains data that was used to generate figures in the thesis:</p> <p>H. Wierstorf, Perceptual Assessment of Sound Field Synthesis, PhD thesis, TU Berlin, (2014), http://dx.doi.org/10.14279/depositonce-4310</p> <p>The code to generate all the figures is available at https://github.com/hagenw/phd-thesis excluding the data provided by this data set. The data contains no measured data, but the result of numerical simulations for which the actual code to generate it, is also part of the repository at github.</p>
Supplementary Materials for SE Carter PhD Thesis
<p>Included:</p> <p>- Additional Phase I: Value and Privacy Preference Survey graphs (see Version 1)</p> <p>- VcPA Profile Design Graphs and Statistics for Phase II: Mock App Store Study (v2 includes correct cluster numbers)</p> <p>- Code List for Phase III: Semi-Structured Interviews (see Version 1)</p>
Glyco Atlas Supplemental Tables (Leo Alexander Dworkin) PhD Thesis
<p>The complex multi-step process of glycosylation occurs in a single cell, yet current analytics generally cannot measure the output (the glycome) of a single cell. Here, we addressed this discordance by testing usage of single cell transcriptomics to break this barrier. We investigated how single cell RNA-seq data can be used to characterise the state of the glycosylation machinery and metabolic network in single cell. The metabolic network involves 214 glycosylation and modification enzymes with their contributions to the glycome outlined in our previously built atlas of cellular glycosylation pathways. We studied differential mRNA regulation of enzymes at the organ and single cell level, finding that most of the general protein and lipid oligosaccharide scaffolds are produced by enzymes exhibiting limited transcriptional regulation among cells. We predict key enzymes within different glycosylation pathways to be highly transcriptionally regulated as regulatable hotspots of the cellular glycome. We designed the Glycopacity software that enables investigators to extract and interpret glycosylation information from transcriptome data and define hotspots of regulation.</p>
Karst diagram from PhD thesis of Laia Comas-Bru
<p>Schematic illustration showing the formation of speleothems</p> <p>Formats: editable pdf and jpeg.</p> <p>Versions: one with the parameters modifying stable oxygen isotopes and one without.</p> <p>Original image: Fig 1.3 of "Schematic illustration showing the formation of speleothems" PhD thesis of Laia Comas-Bru. University College Dublin, Ireland.2015.</p>
Experimental Datasets and Processing Codes for the Semantic PHD Filter
<p>The water bottle detection dataset and measurement model dataset for the paper titled "The Semantic PHD Filter for Multi-class Target Tracking: From Theory to Practice" by Jun Chen, Zhanteng Xie and Philip Dames, and the paper titled "Experimental Datasets and Processing Codes for the Semantic PHD Filter" by Zhanteng Xie, Jun Chen and Philip Dames</p> <p><strong>1. Detection dataset: </strong></p> <p>Size: <br> Total: 4870 images<br> Training: 4000 images<br> Validation: 870 images</p> <p>Bottle Classes: Aquafina, Deer, Kirkland, Nestle</p> <p>Format: PASCAL VOC, Darknet</p> <p>Folder Structure:<br> - Annotations: containing the xml label files in PASCAL VOC format<br> - ImageSets: containing the training index files <br> - JPEGImages: containing the image data in jpg format<br> - Labels: containing the txt label files in Darknet format</p> <p><strong>2. Measurement model dataset:</strong></p> <p>Format: ROSBAG</p> <p>Duration: 19:59s (1199s)</p> <p>Topics:<br> /darknet_ros/detection_image 3543 msgs : sensor_msgs/Image<br> /map 1 msg : nav_msgs/OccupancyGrid<br> /sphd_measurements 3585 msgs : sphd_msgs/SPHDMeasurements<br> /tf 142727 msgs : tf2_msgs/TFMessage<br> /tf_static 1 msg : tf2_msgs/TFMessage</p> <p>Message Types:<br> nav_msgs/OccupancyGrid<br> sensor_msgs/Image<br> sphd_msgs/SPHDMeasurements<br> tf2_msgs/TFMessage</p> <p> </p> <p><strong>3. Processing codes:</strong></p> <p>Detection processing:<br> Zenodo: https://doi.org/10.5281/zenodo.7066045<br> GitHub: https://github.com/TempleRAIL/yolov3_bottle_detector<br> <br> Measurement model processing:<br> Zenodo: https://doi.org/10.5281/zenodo.7066050<br> GitHub: https://github.com/TempleRAIL/sphd_sensor_models</p>
Dan Richmond PhD thesis depository
<p>Data depository for PDB file of 5,6-Tryp, and HTML files of taxonomic plots.</p>
AQL queries and benchmark results from PhD thesis "ANNIS: A graph-based query system for deeply annotated text corpora"
<p>These are the queries, the benchmark results and the evaluation scripts of the thesis "ANNIS: A graph-based query system for deeply annotated text corpora" (Thomas Krause 2018, Humboldt-Universität zu Berlin)</p> <p><strong>diss_2018-01-12_v0.5.0.csv </strong><br> Results of all configurations of executed benchmarks for graphANNIS and also the baseline times of relANNIS.</p> <p><strong>queries.zip</strong><br> Contains folders for each corpus containing all queries used for the benchmark. Each file-name begins with the ID of the query. The extension denotes the type, which can be one of the following:</p> <ul> <li><em>".</em>aql" contains the original AQL (ANNIS query language) query which was collected</li> <li>".json" is JSON representation of the parsed AQL query</li> <li>".count" is the number of matches a query should have</li> <li>".time" is the average time in milliseconds that was needed to execute the query in relANNIS on the benchmark system</li> <li>".corpora" contains the name of the corpus the query belongs to (should be only one corpus and the same as the folder name in the selection of queries in this data set)</li> <li>".relplan" contains the PostgreSQL plan for the query</li> <li>".graphplan" contains the graphANNIS plan for the query</li> </ul> <p><strong>evaluation-scripts.py/evaluation-scripts.ipynb</strong><br> Python scripts to perform the evaluation and generate the images. This are both a Python-file and the original notebook file that can be used with the Jupyter Notebook application.</p> <p><strong>relannis_benchmark_scripts.zip </strong><br> The files in this zip-file can be used to execute the benchmarks in the relANNIS system by piping the into the "annis.sh" command line tool of relANNIS</p>
Data of the PhD thesis "Merge-and-Shrink Abstractions for Classical Planning: Theory, Strategies, and Implementation"
<p>This data set contains raw data and parsed data of all experiments [1] run for the PhD thesis. They were generated using lab (see https://doi.org/10.5281/zenodo.399255).</p> <p>The raw data files (sievers-phd2017-raw-data-part*.tar.gz) contain a subdirectory for each experiment, each containing a subdirectory for each planner run of the experiment, distributed over the directories runs-*. For each run, there are the input PDDL files, domain.pddl and problem.pddl, the compressed output as generated by the translator component of Fast Downward (output.sas.xz), the run log file "run.log" (stdout), possibly also a run error file "run.err" (stderr), and the run script "run" used to start the experiment. The latter cannot be directly used, however, because the directory containing source code and build (compiled object files) have been removed for space reasons. The code is publicly available under https://doi.org/10.5281/zenodo.1163381. The (lab) scripts for parsing run.log are also available in the main directory of each experiment. All other scripts and a corresponding lab version are available on request.</p> <p>For each raw data experiment, the parsed data file (sievers-phd2017-parsed-data.tar.gz) also contains a directory of the same name, with "-eval" appended. It contains a single file called "properties" that combines all of the experiment's parsed data (which can be and was generated from the raw data using lab and the parser scripts). They are in the json format and can be used for easy manipulation of the data. The directories with the prefix "paper-" and "talk-" are combinations of other directories (using the "fetch" mechanism of lab). It is recommended to use these, because due to technical errors, the original eval directories do not contain all runs of all planners (to be more precise: they contain all runs, but a subset of the planner have not been started in these experiments for technical errors and thus considered not solving the task). The missing ones have been run separately, see the directories with "missing-runs" in their name. This is also the reason some of these directories ("paper-", "talk-") contain files named "old-properties" and "fixed-properties" besides the actual "properties". "old-properties" are those with missing/faulty runs, "fixed-properties" are as "old-properties", however with the data of faulty runs removed, and "properties" are as "fixed-properties", however with the addition of the fixed missing runs (in fact, these always contain *all* fixed missing runs of all experiments, for technical reasons).</p> <p>The file sievers-phd2017-parsed-data-all-and-random-merge-strategies.tar.gz contains parsed data of earlier experiments (see [1]), for which no raw data has been archived. The directories contain properties files in the json format.</p> <p>[1] except raw data for the parsed data "sota-symba-spmas-eval" (which in the meantime was added to a separate data set available under https://doi.org/10.5281/zenodo.1189912) and all re-used experiments from the paper "An Analysis of Merge Strategies for Merge-and-Shrink Heuristics" (Silvan Sievers, Martin Wehrle and Malte Helmert, ICAPS 2016), for which the raw data was too large to be archived.</p>
Data and Code For PhD Thesis- Making an Impression: An Assessment of the Role of Print Surfaces Within the Technological, Commercial, Intellectual and Cultural Trajectory of Book Illustration c.1780-c.1860.
<p><strong>Overview</strong></p> <p>These datasets support research found in the PhD Thesis entitled: Making an Impression: An Assessment of the Role of Print Surfaces Within the Technological, Commercial, Intellectual and Cultural Trajectory of Book Illustration c.1780-c.1860, submitted by William Finley. The data was provided by the British Library as part of a wider ambition to digitise millions of book illustrations (further details can be found here: <a href="https://github.com/BL-Labs/imagedirectory">https://github.com/BL-Labs/imagedirectory</a>). The main dataset contains 6063 rows and 108,784 illustrations. All of the data is held in comma-separated values (csv) files. The collection has been subdivided in order to interrogate the dataset further. All of the datasets have been interrogated using Rscript (R 3.4.2 El Capitan Build), the codes of which have been included in the dataset repository. </p> <p><strong>Guidance to Datasets</strong></p> <p>'Counts of Illustration by Size over Time'</p> <ul> <li>Title: Title of Book</li> <li>Author: Author of Book </li> <li>Pub_Place: Location the book was published</li> <li>Book_Id: British Library image identifier </li> <li>YEAR: Year the book was published</li> <li>Image_Count: Number of illustrations belonging to that book</li> <li>N: Number of illustrations according to the size of illustration</li> <li>IMAGE_TYPE: Size of Illustration </li> </ul> <p>'Density Graphs of the Position of Illustrations on the Page'</p> <ul> <li>X1: The X position in pixels of the top left of the image</li> <li>Y1: The Y position in pixels of the top left of the image</li> <li>X2: Width in pixels of the Image</li> <li>Y2: Height in pixels of the Image</li> <li>PERCENT_PAGE: Percentage of the page taken up by illustrations</li> <li>TYPE: Percentage Range of the Page taken up by illustrations </li> <li>VOL: Volume</li> </ul> <p>'Frequency of Illustrations Across First 100 Pages of the Book 1800-1850'</p> <ul> <li>Page: Page number </li> <li>X1: The X position in pixels of the top left of the image</li> <li>Y1: The Y position in pixels of the top left of the image</li> <li>X2: Width in pixels of the image</li> <li>Y2: Height in pixels of the image</li> <li>PERCENTPAGE: Percentage of the page occupied by illustration</li> <li>SIZE: Size category each illustration belongs to</li> </ul> <p>'Illustration Arrangement in Single Books and Editions'</p> <ul> <li>Book_ID: British Library image identifier</li> <li>Page_NO: Page Number Illustration is found on </li> <li>X: The X position in pixels of the top left of the image</li> <li>Y: The Y position in pixels of the top left of the image </li> <li>WIDTH: Width in pixels of the image</li> <li>HEIGHT: Height in pixels of the image</li> <li>IMAGE_SIZE: Percentage of the page occupied by illustration</li> </ul> <p>'Relative Frequency of Printing Methods Over Time'</p> <ul> <li>Publisher: Publisher of the book</li> <li>Title: Title of the book</li> <li>first_author: Author</li> <li>pub_place: Location the book was published</li> <li>book_identifier: British Library image identifier</li> <li>Year: Year the book was published </li> <li>COUNT_IMAGE: Number of illustrations found in a given book</li> <li>YEAR_BOOK_COUNT: Number of book published in a given year</li> <li>YEAR_IMAGE: Number of Illustrations found in books published in a given year</li> <li>AVERAGE_IMAGE: Average number of illustrations found in books published in a given year</li> <li>IMAGE_METHOD: Print method used to produce the illustration</li> <li>IMAGE_SIZE_COUNT: Number of illustrations printed in books in a given year according to its size</li> <li>IMAGE_SIZE: Categories of image sizes</li> </ul> <p><strong>Contact</strong></p> <p>Will Finley can be contacted via the following email. Information listed is accurate at the time of publication</p> <p>Email: wafinley1@sheffield.ac.uk</p> <p> </p> <p> </p>
Cambridge butterfly wing collection - Patricio Salazar PhD wild and bred specimens batch 2
<p>EN:</p> <p>This upload contains photographs taken by Imogen Gavins in the Butterfly Genetics Group at the University of Cambridge from the 27th September 2018 until the 26th October 2018. </p> <p>This batch contains Patricio Salazar's wild and bred specimen collection. The wild specimens are from mostly across the H. m. plesseni/malleti and H. e. notabilits/lativitta hybrid zones in the Eastern slope of the Andes collected in 2009 - 2011. The broods are from these wild specimens. <br> Some images overlap with 'Cambridge butterfly wing collection batch 1', taken by Eva Whiltshire. Images here differ in having a white reflectance standard for calibration. Information on duplicates can be found in 'CAM.coll.patricio.batch2.csv'.</p> <p>ID range:</p> <p>CAM018206 - CAM018534</p> <p>Nomenclature</p> <p>CAMXXXXXX : unit ID corresponding to individual samples<br> _v _d: ventral or dorsal<br> _whitestandard: signifies the use of a white reflectance standard in the images. </p> <p>Information on individual samples from the Butterfly Genetics Group Collection can be found on the public database Earthcape (click <a href="https://heliconius.ecdb.io/#ViewID=ContentPage_DetailView&ObjectKey=843e8ec1-41a6-4706-9622-f643132da859&ObjectClassName=EarthCape.Module.Core.ContentPage&mode=View">here</a> for the database, and <a href="http://heliconius.zoo.cam.ac.uk/databases/earthcape-specimen-database/">here</a> for FAQ)</p> <p>Please contact Chris Jiggins (c.jiggins[at]zoo.cam.ac.uk), Gabriela Montejo-Kovacevich (mgm49[at]cam.ac.uk) or Ian Warren (iaw22[at]cam.ac.uk) for requests.</p> <p> </p> <p>------------------------------------------------------</p> <p>ES:</p> <p>Este repositorio contiene fotografías tomadas por Imogen Gavins en el Butterfly Genetics Group de la Universidad de Cambridge desde el 27 de septiembre de 2018 hasta el 16 de octubre de 2018.</p> <p>Este lote contiene la colección de especímenes silvestres y criados por Patricio Salazar. Los especímenes silvestres son principalmente de la zona híbrida y alrededores de H. m. plesseni / malleti y H. e. notabilits / lativitta en la vertiente oriental de los Andes recogidas en 2009 - 2011. Las crías son de especímenes silvestres.<br> Algunas imágenes sobreplan en 'Cambridge butterfly collection batch 1', col las imágenes tomadas por Eva Whiltshire. Las imágenes en esta carpeta difieren en la reflectancia blanca para la calibración. La información sobre los duplicador puede encontrarse en 'CAM.coll.patricio.batch2.csv'.</p> <p> ID rango:</p> <p>CAM018206 - CAM018534</p> <p>Nomenclatura</p> <p>CAMXXXXXX: ID de unidad correspondiente a muestras individuales<br> _v _d: ventral o dorsal<br> _whitestandard: significa el uso de la reflectancia blanca en las imágenes.</p> <p>Puede encontrar información sobre muestras individuales de Butterfly Genetics Group Collection en la base de datos pública Earthcape (haga clic <a href="https://heliconius.ecdb.io/#ViewID=ContentPage_DetailView&ObjectKey=843e8ec1-41a6-4706-9622-f643132da859&ObjectClassName=EarthCape.Module.Core.ContentPage&mode=View">aquí</a> para la base de datos, y <a href="http://heliconius.zoo.cam.ac.uk/databases/earthcape-specimen-database/">aquí</a> para preguntas frecuentes)</p> <p>Por favor, póngase en contacto con Chris Jiggins (c.jiggins [arroba] zoo.cam.ac.uk), Gabriela Montejo-Kovacevich (mgm49 [arroba] cam.ac.uk) o Ian Warren (iaw22 [arroba] cam.ac.uk) con sus preguntas o peticiones.</p>
PhD Data_Martyn Kurr
<p><strong>Supporting Information for PhD Data_Martyn Kurr</strong></p> <p>These files contains the data collected for the Doctoral Thesis of Martyn Kurr, 2011-2015; Trade-offs in macroalgal chemical defences: battle of the sexes, invaders and consumers, supported by NERC Grant NE/J500203/1 and the ASSEMBLE Mobility Scheme. This doctorate was undertaken at Bangor University (North Wales, UK), and is permanently available from Ethos; uk.bl.ethos.683507. Full details of the methods used to gather this data are available in that document, but in short this data comprises the results of a series of field observations, feeding trials, chemical assays, and laboratory-based procedures investigating the ecology and chemical dynamics of sexual dimorphism in <em>Ascophyllum nodosum</em>, and the invasion of <em>Sargassum muticum</em>; both marine fucoid macroalgae. </p> <p>One file is dedicated to each experimental chapter (chapters two through five), and columns are clustered into individual experiments or trials detailed in the thesis; where relevant a short note is placed before each cluster, for example to denote a particular site or trial run within a larger experiment. Missing data (for example when a feeding trial failed due to mortality) are indicated by an asterisks *.</p> <p>Although some assistance was provided during certain field-based trials (see acknowledgments in thesis), all data without exception were collected, processed, digitised, and archived by Martyn Kurr.</p> <p>This data is complete, and with the exception of peer-reviewed publications arising from the thesis, is unavailable elsewhere. The author declares no conflict of interest, and makes this data freely available for anyone to use. Please cite Dr Martyn Kurr in any instance of use.</p> <p>Present address;</p> <p>Marine Science</p> <p>School of Natural and Environmental Sciences</p> <p>Ridley 2, 3.73</p> <p>Newcastle University</p> <p>Newcastle</p> <p>United Kingdom</p> <p>NE1 7RU</p> <p>(+44) 01912 085 345</p> <p> </p> <p> </p> <p> </p>
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