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20,299 results for “Systematic”
gEneSys Project - Systematic Literature on the Nexus between Gender and Energy Transition Database
<p>The present Dataset containes the data collected for the gEneSys Systematic Literature Review on the nexus between gender and energy transition. Data have been collected from 152 papers published between 2000 and 2023. The publications have been identified through an hoc research query and retrieved from the Web of Science Database.</p> <p>The dataset inscludes the following variables:</p> <ol> <li>Title of the publication, category of the categorization of Bell et al., 2020 (Political, Economic, Socio-Ecological, Technological).</li> <li>Cluster in which the publication has been included.</li> <li>Parts of the publication’s results about the nexus between gender and energy.</li> <li>Parts of the publication’s text about the gender gap assessed by the publication.</li> <li>Parts of the publication’s text about the gender gap identified to be bridged by future research.</li> <li>The type of the gender issue/s addressed by the publication. </li> <li>The type of the gender issue/s addressed by the publication. </li> <li>Technology/ies mentioned in the publication.</li> <li>The name of the country or countries studied by the publication.</li> <li>World Bank classification of the level of income of the country or countries studied by the publication.</li> <li>World Bank classification of the region of the country or countries studied by the publication.</li> <li>Spatial Context (e.g. international, national, inner-country, peri-urban, rural) of the country or countries studied by the publication.</li> <li>Research method employed in the publication (qualitative, quantitative, mixed).</li> <li>Specific qualitative, quantitative or mixed method or methods employed in the publication.</li> <li>Number of observations for the methods used.</li> <li>Parts of the publication’s text about the policy recommendations elaborated in the publication.</li> <li>If the publication mentions a pathway.</li> <li>Year of publication.</li> <li>Author/s surname and name initial. </li> <li>Author/s full surnames and names. </li> <li>Keywords chosen by the author/s. </li> <li>Abstract of the publication. </li> <li>Name of the source or journal. </li> <li>Type of publication. </li> <li>Category/ies identified by Web of Science. </li> <li>Publication’s language. </li> <li>Keywords identified by Web of Science. </li> <li>Number of references cited by the publication. </li> <li>Number of times the publication has been cited in Web of Science Core Database. </li> <li>Number of times the publication has been cited in Web of Science All Databases. </li> <li>Name of the publisher. </li> <li>Digital Object Identifier. </li> <li>Digital Object Identifier link. </li> <li>Publication’s number of pages. </li> <li>Web of Science citation index. </li> <li>Research area or areas of the publication. </li> <li>Web of Science Unique Identifier.</li> </ol>
Data archive for Pepper, Bateson and Nettle, 'Telomeres as integrative markers of exposure to stress and adversity: A systematic review and meta-analysis'
<p>Data archive for the paper 'Telomeres as integrative markers of exposure to stress and adversity: A systematic review and meta-analysis' by Gillian Pepper, Melissa Bateson and Daniel Nettle. This version was uploaded in July 2018 after peer-review in the journal Royal Society Open Science. Compared to earlier version, it incorporates some minor error correction to the dataset, and reflects the revised analyses we performed after peer review. </p> <p>Our protocol and recording guide, which were preregistered on the Open Science Framework in 2016, are also included here, as is our PRISMA diagram.</p> <p>The data file 'unprocessed data' contains the data as extracted from the literature, with associations shown both as provided in the original papers, and converted to correlation coefficients. The algorithms for converting all the different associations to correlation coefficients are described in the flowchart and implemented in the R script 'effect conversion algorithms.r'.</p> <p>The data file 'processed data.csv' is the dataset analysed in the paper. Compared to 'unprocessed data.csv', it excludes: associations from studies of non-human animals; duplicate associations; a small number of associations from studies of medical treatments; and associations considered subparts or subscales of other associations. These exclusions are outlined in Methods section of the paper. In addition, in the processed data file, all correlations are aligned in direction so as to make them comparable (variable 'ValencedEffect'); and all associations are assigned to broad and fine categories.The script 'unprocessed to processed.r' makes the processed data file from the unprocessed one, or you can simply work from the processed one directly. </p> <p>The R script 'telomere metanalysis script RSOS REVISED.r' reproduces the analyses found in the paper.</p> <p>This version of the archive (July 17 2018) contains one small correction in the data files compared to all earlier versions. </p>
A Systematic Survey of Datacenter Scheduling: Data Artifacts
<p>This release contains the raw search results of the survey conducted in the paper <em>A Systematic Survey of Datacenter Scheduling</em>. </p>
Unpacking the concept of "educators' data literacy in Higher Education" - Systematic Review of the literature and Keyword Map
<p>As algorithmic decision-making and data collection become pervasive within higher education, how can educators make sense of the systems that shape life and learning in the 21st century? Through a systematic review of the literature, the paper investigates the gaps in the literature, which prevent the formulation of potential pathways and principles on which educators’ data literacy can - and should - be developed and fostered. The analysis of 137 papers through the methods of classification under relevant categories, and key words mapping, showed that there is little attention on HE teachers, and most approaches to educators’ data literacy address management and technical abilities for data processing, with less concern on critical, ethical and personal approaches to datafication in education.</p> <p>The present dataset shows the full list of articles analysed.</p> <p>The dataset, and ods file, is composed by the following sheets:</p> <ol> <li>Codebook</li> <li>List of articles extracted from SCOPUS</li> <li>List of articles extracted from WOS</li> <li>List of articles extracted from ERIC</li> <li>List of articles extracted from DOAJ</li> <li>Interrater Agreement</li> <li>PRISMA workflow</li> <li>Analysis - First Level (classification of 137 articles selected)</li> <li>Analysis - Second Level (List of articles relating faculty development)</li> <li>Supplementary tables (counting articles in relation to the categories of analysis).</li> </ol> <p>As for the Keywords' Map, a second file .csv displays the text over which basis was performed the keyword maps analysis. A .txt file shows notes relating the analysis procedures using the software VOS-Viewer <a href="http://www.vosviewer.com/">http://www.vosviewer.com/</a></p> <p> </p>
[Dataset] Software Process Line as an Approach to Support Software Process Reuse: a Systematic Literature Review
<p>Dataset of a Systematic Literature Review on Software Process Line as an Approach to Support Software Process Reuse</p> <p>Please, read README.txt file before go through dataset.</p>
Open dataset for publication "Systematic Mapping Study on Requirements Engineering for Regulatory Compliance of Software Systems"
<p>This publication contains open dataset for the journal publication "Systematic Mapping Study on Requirements Engineering for Regulatory Compliance of Software Systems".</p> <p>The dataset contains the data extracted from 280 selected primary studies.</p> <p>The dataset includes the following data:</p> <ul> <li>study metadata (title, venue, publication year, authors, authors’ affiliation, abstract);</li> <li>challenges to regulatory compliance (direct excerpts from studies);</li> <li>categories of challenges to compliance;</li> <li>principles and practices (direct excerpts from text);</li> <li>categories of principles and practices;</li> <li>types of automation of principles and practices;</li> <li>involved stakeholders (direct excerpts from studies);</li> <li>categories of involved stakeholders;</li> <li>phase of the principle and practice life cycle for which involvement of stakeholders was considered;</li> <li>SDLC process areas covered by the study;</li> <li>regulations considered in the study;</li> <li>fields of regulations that were considered;</li> <li>domains of application that were considered;</li> <li>assessment of rigor and relevance of the study.</li> </ul>
Formal Methods in Railways: a Systematic Mapping Study - List of Primary Studies and Data Extraction
<p>This Excel file includes the list of papers analyzed in the systematic mapping study titled "Formal Methods in Railways: a Systematic Mapping Study". The study has been submitted for publication, and its preprint is also included in this repository. </p>
Background music and cognitive task performance: systematic review dataset
<p>This repository contains the raw data used for a systematic review of the impact of background music on cognitive task performance (Cheah et al., 2022). Our intention is to facilitate future updates to this work.</p><p><strong>Contents description</strong></p><p>This repository contains eight Microsoft Excel files, each containing the synthesised data pertaining to each of the six cognitive domains analysed in the review, as well as task difficulty, and population characteristics:</p><ul><li><i>raw-data-attention</i></li><li><i>raw-data-inhibition</i></li><li><i>raw-data-language</i></li><li><i>raw-data-memory</i></li><li><i>raw-data-thinking</i></li><li><i>raw-data-processing-speed</i></li><li><i>raw-data-task-difficulty</i></li><li><i>raw-data--population</i></li></ul><p><strong>Files description</strong></p><p><i>Tabs organisation</i></p><p>The files pertaining to each cognitive domain include individual tabs for each cognitive task analysed (c.f. Figure 2 in the original paper for the list of cognitive tasks). The file with the population characteristics data also contains separate tabs for each characteristic (extraversion, music training, gender, and working memory capacity).</p><p><i>Tabs contents</i></p><p>In all files and tabs, each row corresponds to the data of a test. The same article can have more than one row if it reports multiple tests. For instance, the study by Cassidy and MacDonald (2007; cf. <i>Memory.xlsx</i>, tab: <i>Memory-all</i>) contains two experiments (immediate and delayed free recall) each with multiple test (immediate free recall: tests 25 – 32; delayed free recall: tests 58 – 61). Each test (one per row), in this experiment, pertains to comparisons between conditions where the background music has different levels of arousal, between groups of participants with different extraversion levels, between different tasks material (words or paragraphs) and different combinations of the previous (e.g., high arousing music vs silence test among extraverts whilst completing an immediate free recall task involving paragraphs; cf. test 30).</p><p>The columns are organised as follows:</p><ul><li>"TESTS": the index of the test in a particular tab (for easy reference);</li><li>"ID": abbreviation of the cognitive tasks involved in a specific experiment (see glossary for meaning);</li><li>"REFERENCE": the article where the data was taken from (see main publications for list of articles);</li><li>"CONDITIONS": an abbreviated description of the music condition of a given test;</li><li>"MEANS (music)": the average performance across all participants in a given experiment with background music;</li><li>"MEANS (silence)": the average performance across all participants in a given experiment without background music.</li></ul><p>Then, in horizontal arrangement, we also include groups of two columns that breakdown specific comparisons related to each test (i.e., all tests comparing the same two types of condition, e.g., L-BgM vs I-BgM, will appear under the same set of columns). For each one, we indicate mean difference between the respective conditions ("MD" column) and the direction of effect ("Standard Metric" column). Each file also contains a "Glossary" tab that explains all the abbreviations used in each document.</p><p><strong>Bibliography</strong></p><p>Cheah, Y., Wong, H. K., Spitzer, M., & Coutinho, E. (2022). Background music and cognitive task performance: A systematic review of task, music and population impact. <i>Music & Science, 5</i>(1), 1-38. <a href="https://doi.org/10.1177/0305735699272005">https://doi.org/10.1177/20592043221134392</a></p>
Data for Few studies of wild animal performance account for parasite infections: a systematic review
<p>Data from a systematic review across eight scientific journals publishing primarily studies in animal behaviour and physiology over a 5-year period to assess the proportion of studies which acknowledge, treat or control for parasite infection in their study design and/or analyses. Wild animals have parasites. This inconvenient truth has far-reaching implications for biologists measuring animal performance traits: infection with parasites can alter host behaviour and physiology in profound and sometimes counterintuitive ways. Yet, to what extent do studies on wild animals take individual infection status into account? We explored whether parasite inclusion differed between studies that are experimental versus observational, conducted in the field vs the laboratory and measure behavioural vs physiological traits. We also investigated the importance of other factors such as the journal, the year of publication, the trait category (e.g. locomotion, reproduction) measured, the vertebrate taxonomic group investigated, and the host climatic zone of origin. Our results show that parasite inclusion was generally lacking across recent studies on wild vertebrates. In over 680 filtered papers, we found that only 21.9% acknowledged the potential effects of infections on animal performance in the text, and only 5.1% of studies treated animals for infection (i.e. parasite control) or considered infection status in the statistical analyses (i.e. parasite analysis). Parasite inclusion, control and analysis were higher in laboratory compared to field studies and higher for physiological studies compared to behavioural studies but did not differ among journals, performance trait categories and taxonomic groups. Overall, our literature review suggests that parasites are sorely under-acknowledged by researchers in recent years despite growing evidence that infections can modify animal performance. Given the ubiquity of parasites in the environment, we encourage scientists to consider individual infection status when assessing performance of wild animals. We also suggest ways for researchers to implement such practices in both experimental and observational studies. </p>
Incidence and Characteristics of Adverse Events in Paediatric Inpatient Care: a Systematic Review and Meta-Analysis
<p>This is the open data repository for the connected systematic review and meta-analysis.</p> <p>Data sets for the meta-analysis.</p> <p>Data collection file with all the information extracted from the included studies.</p> <p>QAT file with the information from the quality assessment tool (QAT) for all included studies.</p> <p>ReadMe with information on data sets and updates.</p> <p>Codebooks for data sets.</p> <p>R Code for the analysis</p>
Data from Time since liver transplantation and immunosuppression withdrawal outcomes: a systematic review with individual patient data meta-analysis
<p>This record provides one CSV file containing anonymized individual patient data (IPD) of pre-withdrawal times (in days) of liver transplant recipients that underwent immunosuppression (IS) withdrawal. Collection and publication of anonymized data was approved by the Ethics Committee Northwest and Central Switzerland. Patients of 15 primary studies are stratified by successfully reaching the state of IS-free operational tolerance (OT) or by developing signs of immunological rejection (non-OT).</p>
"Determinants of football players' valuation: a systematic review" datasets
<p>3 interdependent tables are available and are the materials used for a systematic review of the determinants of football players' valuation. </p> <p>- model_specifications is a table where each row represents one of the 111 model specifications included in the systematic review. Characteristics of the article from which specification was retrieved (title, year, authors, journal), attributes of the specification (sample size, population, econometric modeling, etc.), the significance levels of included variables, and the associated coefficients for significant variables. </p> <p>- model_specifications_dictionnary precise the names of the columns of the table model_specifications.</p> <p>- variables_definitions_and_classification is a table that details all the 471 variables used in the 29 articles analysed with definitions quoted from articles when possible and presents a classification of these variables into 6 categories and several subcategories. </p>
Mitochondrial genome sequencing and analysis of the invasive Microstegium vimineum: a resource for systematics, invasion history, and management
<p>Table S1: Accession data for Microstegium samples included in this study.</p> <p>File S1: Alignment of Mitochondrial CDS for Poales mitochondrial sequences.</p> <p>File S2: SNP data for Microstegium vimineum mitochondrial variants.</p> <p>Figure S1: Transposable element content in the Microstegium vimineum mitogenome.</p> <p>Figure S2: Summary of Kraken2 output.</p> <p> </p>
A Systematic Literature Review of Machine Learning for Uncovering Software Faults and Failures
<p>This data set contains the results of an extensive, systematic literature review on the use of machine learning (ML) for uncovering software faults and failures. Covering the period of 2019 to 2022, this literature review identifies 874 relevant publications, classified into six distinct quality assurance tasks. Results show a compound annual growth rate (CAGR) of relevant publications of 38% over the last five years.</p> <p>This literature review particularly analyzed in how far these relevant papers leverage synergies between different quality assurance tasks. Results show that only 3% of all relevant papers leverage such synergies, indicating ample opportunities for future research. For example, a single type of quality assurance activity may not suffice to deliver the expected software quality. Ideally, one would use a suitable combination of different types of activities – such as combining dynamic testing with static code analysis. Also, leveraging the synergies between different quality assurance activities can increase the effectiveness of the individual activities. For example, having a good estimate of the fault density of a software component (e.g., using deep learning-driven fault prediction techniques) could help optimize and prioritize testing effort and budget.</p>
Unit cells and resummed interactions for the calculations in "Systematic Analysis of Crystalline Phases in Bosonic Lattice Models with Algebraically Decaying Density-Density Interactions"
<p>This directory contains all the unit cells with the respective resummed interactions used for the optimisation procedure to obtain the results in the work "Systematic Analysis of Crystalline Phases in Bosonic Lattice Models with Algebraically Decaying Density-Density Interactions[1]".</p> <p>To get an overview of the organization of the directory and a description of the data we recommend the README file.</p> <p>[1]: J. A. Koziol et al., Systematic Analysis of Crystalline Phases in Bosonic Lattice Models with Algebraically Decaying Density-Density Interactions, <a href="https://10.21468/SciPostPhys.14.5.136">10.21468/SciPostPhys.14.5.136</a>, 2023</p>
Literature Datasets for the publication "Systematic Review: Prevalence and Practices of Immunofluorescent Cell Image Processing"
<p>This dataset contains the CSV files returned from PubMed searches used to complete a Systematic Review of Image Processing Publication Practices for methods applied to immunofluorescent images of all CNS cells. <br> <br> The file names are organized "date_supplementarytablenumber" followed by the appropriate search terms. </p>
Systematics of the avian family Alaudidae using multilocus and genomic data
<p>SNP datasets (gzipped VCF files) and tree output (newick-formatted trees in .trees files) associated with the publication <em>Systematics of the avian family Alaudidae using multilocus and genomic data</em> by Alström et al. (2023).</p> <p>In the VCF files, samples have intermediary sequence names. Below is a key (sorted per name in VCF file) to taxon and ID. Further information can be found in Dataset SM1 in the original publication.</p> <table> <tbody> <tr> <td><strong>VCF_name</strong></td> <td><strong>Taxon</strong></td> <td><strong>ID</strong></td> </tr> <tr> <td>A_hamertoni_hamertoni_1982_3_71</td> <td>Alaemon hamertoni hamertoni</td> <td>NHMUK 1982.3.71</td> </tr> <tr> <td>A_hamertoni_tertia_1982_3_12</td> <td>Alaemon hamertoni tertia</td> <td>NHMUK 1982.3.12</td> </tr> <tr> <td>A_phoenicura_1949_25_4559</td> <td>Ammomanes phoenicura</td> <td>NHMUK 1949.25.4559</td> </tr> <tr> <td>Ala_alaudipes</td> <td>Alaemon alaudipes alaudipes</td> <td>DZUG U5653 </td> </tr> <tr> <td>Alauda_arvensis_KZ</td> <td>Alauda arvensis dulcivox</td> <td>DZUG U0587 </td> </tr> <tr> <td>Alaudala_seebohmi</td> <td>Alaudala cheleensis seebohmi</td> <td>DZUG U5316</td> </tr> <tr> <td>AmmocincU4892_S121</td> <td>Ammomanes cinctura</td> <td>DZUG U4892</td> </tr> <tr> <td>AmmodesU5745_S28</td> <td>Ammomanes deserti</td> <td>DZUG U5745</td> </tr> <tr> <td>AmmodesU5748_S106</td> <td>Galerida cristata magna</td> <td>DZUG U5748</td> </tr> <tr> <td>C_duponti_margaritae_1952_51_107</td> <td>Chersophilus duponti margaritae</td> <td>NHMUK 1952.51.107</td> </tr> <tr> <td>Cal_brachydactyla</td> <td>Calandrella brachydactyla rubiginosa</td> <td>DZUG U5655</td> </tr> <tr> <td>CalbarlU5662_S32</td> <td>Calendulauda erythroclamys patae</td> <td>DZUG U5662</td> </tr> <tr> <td>CalsabotaU2344_S33</td> <td>Calendulauda sabota suffusca</td> <td>DZUG U2344</td> </tr> <tr> <td>CheralboU5652_S52</td> <td>Chersomanes albofasciata</td> <td>DZUG U5652</td> </tr> <tr> <td>E_leucotis_BMNH_1952.25.36</td> <td>Eremopterix leucotis</td> <td>NHMUK 1952.25.36</td> </tr> <tr> <td>ErealpeU4610_S144</td> <td>Eremophila alpestris brandti</td> <td>DZUG U4610</td> </tr> <tr> <td>Eremalauda_dunni</td> <td>Eremalauda eremodites</td> <td>DZUG U4578</td> </tr> <tr> <td>Eremopterix_hova_FMNH449163</td> <td>Eremopterix hova</td> <td>FMNH 449163</td> </tr> <tr> <td>G_deva_1949_whi_1_8153</td> <td>Galerida deva</td> <td>NHMUK 1949.whi.1.8153</td> </tr> <tr> <td>G_malabarica_1949_whi_1_7738</td> <td>Galerida malabarica</td> <td>NHMUK 1949.whi.1.7738</td> </tr> <tr> <td>HetarchU2811_S34</td> <td>Heteromirafra archeri ("sidamoensis")</td> <td>DZUG U2811</td> </tr> <tr> <td>Heteromirafra_ruddi</td> <td>Heteromirafra ruddi</td> <td>DZUG U5661 </td> </tr> <tr> <td>Lullula_arborea_U544</td> <td>Lullula arborea</td> <td>UWBM 64680 </td> </tr> <tr> <td>M_a_africana_BMNH_1927.5.26.5</td> <td>Corypha [Mirafra] africana africana</td> <td>NHMUK 1927.5.26.5</td> </tr> <tr> <td>M_africana_athi_1951_13_2495</td> <td>Corypha [Mirafra] africana athi</td> <td>NHMUK 1951.13.2495</td> </tr> <tr> <td>M_africana_athi_1968_48_2</td> <td>Corypha [Mirafra] africana athi</td> <td>NHMUK 1968.48.2</td> </tr> <tr> <td>M_albicauda_1916_12_1_840</td> <td>Mirafra albicauda </td> <td>NHMUK 1916.12.1.840</td> </tr> <tr> <td>M_ashi_1982_3_4</td> <td>Corypha [Mirafra] ashi</td> <td>NHMUK 1982.3.4</td> </tr> <tr> <td>M_collaris_BMNH_1923.8.7.2633</td> <td>Amirafra [Mirafra] collaris</td> <td>NHMUK 1923.8.7.2633</td> </tr> <tr> <td>M_collaris_BMNH_1923.8.7.2634</td> <td>Amirafra [Mirafra] collaris</td> <td>NHMUK 1923.8.7.2634</td> </tr> <tr> <td>M_cordofanica_1932_8_6_261</td> <td>Mirafra cordofanica</td> <td>NHMUK 1932.8.6.261</td> </tr> <tr> <td>M_cordofanica_1932_8_6_262</td> <td>Mirafra cordofanica</td> <td>NHMUK 1932.8.6.262</td> </tr> <tr> <td>M_gilletti_1982_3_10</td> <td>Calendulauda [Mirafra] gilletti arorihensis</td> <td>NHMUK 1982.3.10</td> </tr> <tr> <td>M_gilletti_1982_3_9</td> <td>Calendulauda [Mirafra] gilletti degodiensis</td> <td>NHMUK 1982.3.9</td> </tr> <tr> <td>M_hypermetra_BMNH_1912.12.23.317</td> <td>Corypha [Mirafra] hypermetra hypermetra</td> <td>NHMUK 1912.12.23.317</td> </tr> <tr> <td>M_rufa_lynesi_1922_12_8_1553</td> <td>Calendulauda [Mirafra] rufa rufa </td> <td>NHMUK 1922.12.8.1553</td> </tr> <tr> <td>M_rufa_nigriticola_1932_8_6_253</td> <td>Calendulauda [Mirafra] rufa nigriticola</td> <td>NHMUK 1932.8.6.253</td> </tr> <tr> <td>M_somalica_somalica_1919_10_6_27</td> <td>Corypha [Mirafra] somalica somalica</td> <td>NHMUK 1919.10.6.27</td> </tr> <tr> <td>MelcalaU0583_S124</td> <td>Melanocorypha calandra psammochroa</td> <td>DZUG U0583</td> </tr> <tr> <td>MelyeltU0580_S35</td> <td>Melanocorypha yeltoniensis</td> <td>DZUG U0580</td> </tr> <tr> <td>Mirafra_alb_ZMB_2000.9488</td> <td>Mirafra albicauda </td> <td>ZMB 2000.9488</td> </tr> <tr> <td>Mirafra_albi_ZMB_49.225</td> <td>Mirafra albicauda </td> <td>ZMB 49.225 (holotype)</td> </tr> <tr> <td>Mirafra_degodiensis</td> <td>Calendulauda [Mirafra] gilletti degodiensis</td> <td>DZUG U2808</td> </tr> <tr> <td>Mirafra_rufocinnamomea_U5657</td> <td>Amirafra [Mirafra] rufocinnamomea fischeri</td> <td>FMNH 484672 (= DZUG U5657)</td> </tr> <tr> <td>MirchenU5660_S37</td> <td>Mirafra cheniana</td> <td>DZUG U5660</td> </tr> <tr> <td>MirchenU5759_S36</td> <td>Mirafra cheniana</td> <td>DZUG U5759</td> </tr> <tr> <td>MirfascU5758_S60</td> <td>Corypha [Mirafra] fasciolata</td> <td>DZUG U5758 </td> </tr> <tr> <td>Panurus</td> <td>Panurus biarmicus</td> <td>1ET92164|SAMN13107499</td> </tr> <tr> <td>Ramphocoris</td> <td>Ramphocoris clotbey</td> <td>CEFE Rhcl1 (= DZUG U5651)</td> </tr> <tr> <td>Spizocorys_fringillaris_U5659</td> <td>Spizocorys fringillaris</td> <td>DZUG U5659</td> </tr> <tr> <td>Spizocorys_obbiensis_1908_5_28_104</td> <td>Spizocorys obbiensis</td> <td>NHMUK 1908.5.28.104</td> </tr> </tbody> </table> <p> </p> <p>For convenience, the same data sorted per taxon:</p> <table> <tbody> <tr> <td><strong>VCF_name</strong></td> <td><strong>Taxon</strong></td> <td><strong>ID</strong></td> </tr> <tr> <td>Ala_alaudipes</td> <td>Alaemon alaudipes alaudipes</td> <td>DZUG U5653 </td> </tr> <tr> <td>A_hamertoni_hamertoni_1982_3_71</td> <td>Alaemon hamertoni hamertoni</td> <td>NHMUK 1982.3.71</td> </tr> <tr> <td>A_hamertoni_tertia_1982_3_12</td> <td>Alaemon hamertoni tertia</td> <td>NHMUK 1982.3.12</td> </tr> <tr> <td>Alauda_arvensis_KZ</td> <td>Alauda arvensis dulcivox</td> <td>DZUG U0587 </td> </tr> <tr> <td>Alaudala_seebohmi</td> <td>Alaudala cheleensis seebohmi</td> <td>DZUG U5316</td> </tr> <tr> <td>M_collaris_BMNH_1923.8.7.2633</td> <td>Amirafra [Mirafra] collaris</td> <td>NHMUK 1923.8.7.2633</td> </tr> <tr> <td>M_collaris_BMNH_1923.8.7.2634</td> <td>Amirafra [Mirafra] collaris</td> <td>NHMUK 1923.8.7.2634</td> </tr> <tr> <td>Mirafra_rufocinnamomea_U5657</td> <td>Amirafra [Mirafra] rufocinnamomea fischeri</td> <td>FMNH 484672 (= DZUG U5657)</td> </tr> <tr> <td>AmmocincU4892_S121</td> <td>Ammomanes cinctura</td> <td>DZUG U4892</td> </tr> <tr> <td>AmmodesU5745_S28</td> <td>Ammomanes deserti</td> <td>DZUG U5745</td> </tr> <tr> <td>A_phoenicura_1949_25_4559</td> <td>Ammomanes phoenicura</td> <td>NHMUK 1949.25.4559</td> </tr> <tr> <td>Cal_brachydactyla</td> <td>Calandrella brachydactyla rubiginosa</td> <td>DZUG U5655</td> </tr> <tr> <td>M_gilletti_1982_3_10</td> <td>Calendulauda [Mirafra] gilletti arorihensis</td> <td>NHMUK 1982.3.10</td> </tr> <tr> <td>M_gilletti_1982_3_9</td> <td>Calendulauda [Mirafra] gilletti degodiensis</td> <td>NHMUK 1982.3.9</td> </tr> <tr> <td>Mirafra_degodiensis</td> <td>Calendulauda [Mirafra] gilletti degodiensis</td> <td>DZUG U2808</td> </tr> <tr> <td>M_rufa_nigriticola_1932_8_6_253</td> <td>Calendulauda [Mirafra] rufa nigriticola</td> <td>NHMUK 1932.8.6.253</td> </tr> <tr> <td>M_rufa_lynesi_1922_12_8_1553</td> <td>Calendulauda [Mirafra] rufa rufa </td> <td>NHMUK 1922.12.8.1553</td> </tr> <tr> <td>CalbarlU5662_S32</td> <td>Calendulauda erythroclamys patae</td> <td>DZUG U5662</td> </tr> <tr> <td>CalsabotaU2344_S33</td> <td>Calendulauda sabota suffusca</td> <td>DZUG U2344</td> </tr> <tr> <td>CheralboU5652_S52</td> <td>Chersomanes albofasciata</td> <td>DZUG U5652</td> </tr> <tr> <td>C_duponti_margaritae_1952_51_107</td> <td>Chersophilus duponti margaritae</td> <td>NHMUK 1952.51.107</td> </tr> <tr> <td>M_a_africana_BMNH_1927.5.26.5</td> <td>Corypha [Mirafra] africana africana</td> <td>NHMUK 1927.5.26.5</td> </tr> <tr> <td>M_africana_athi_1951_13_2495</td> <td>Corypha [Mirafra] africana athi</td> <td>NHMUK 1951.13.2495</td> </tr> <tr> <td>M_africana_athi_1968_48_2</td> <td>Corypha [Mirafra] africana athi</td> <td>NHMUK 1968.48.2</td> </tr> <tr> <td>M_ashi_1982_3_4</td> <td>Corypha [Mirafra] ashi</td> <td>NHMUK 1982.3.4</td> </tr> <tr> <td>MirfascU5758_S60</td> <td>Corypha [Mirafra] fasciolata</td> <td>DZUG U5758 </td> </tr> <tr> <td>M_hypermetra_BMNH_1912.12.23.317</td> <td>Corypha [Mirafra] hypermetra hypermetra</td> <td>NHMUK 1912.12.23.317</td> </tr> <tr> <td>M_somalica_somalica_1919_10_6_27</td> <td>Corypha [Mirafra] somalica somalica</td> <td>NHMUK 1919.10.6.27</td> </tr> <tr> <td>Eremalauda_dunni</td> <td>Eremalauda eremodites</td> <td>DZUG U4578</td> </tr> <tr> <td>ErealpeU4610_S144</td> <td>Eremophila alpestris brandti</td> <td>DZUG U4610</td> </tr> <tr> <td>Eremopterix_hova_FMNH449163</td> <td>Eremopterix hova</td> <td>FMNH 449163</td> </tr> <tr> <td>E_leucotis_BMNH_1952.25.36</td> <td>Eremopterix leucotis</td> <td>NHMUK 1952.25.36</td> </tr> <tr> <td>AmmodesU5748_S106</td> <td>Galerida cristata magna</td> <td>DZUG U5748</td> </tr> <tr> <td>G_deva_1949_whi_1_8153</td> <td>Galerida deva</td> <td>NHMUK 1949.whi.1.8153</td> </tr> <tr> <td>G_malabarica_1949_whi_1_7738</td> <td>Galerida malabarica</td> <td>NHMUK 1949.whi.1.7738</td> </tr> <tr> <td>HetarchU2811_S34</td> <td>Heteromirafra archeri ("sidamoensis")</td> <td>DZUG U2811</td> </tr> <tr> <td>Heteromirafra_ruddi</td> <td>Heteromirafra ruddi</td> <td>DZUG U5661 </td> </tr> <tr> <td>Lullula_arborea_U544</td> <td>Lullula arborea</td> <td>UWBM 64680 </td> </tr> <tr> <td>MelcalaU0583_S124</td> <td>Melanocorypha calandra psammochroa</td> <td>DZUG U0583</td> </tr> <tr> <td>MelyeltU0580_S35</td> <td>Melanocorypha yeltoniensis</td> <td>DZUG U0580</td> </tr> <tr> <td>M_albicauda_1916_12_1_840</td> <td>Mirafra albicauda </td> <td>NHMUK 1916.12.1.840</td> </tr> <tr> <td>Mirafra_alb_ZMB_2000.9488</td> <td>Mirafra albicauda </td> <td>ZMB 2000.9488</td> </tr> <tr> <td>Mirafra_albi_ZMB_49.225</td> <td>Mirafra albicauda </td> <td>ZMB 49.225 (holotype)</td> </tr> <tr> <td>MirchenU5660_S37</td> <td>Mirafra cheniana</td> <td>DZUG U5660</td> </tr> <tr> <td>MirchenU5759_S36</td> <td>Mirafra cheniana</td> <td>DZUG U5759</td> </tr> <tr> <td>M_cordofanica_1932_8_6_261</td> <td>Mirafra cordofanica</td> <td>NHMUK 1932.8.6.261</td> </tr> <tr> <td>M_cordofanica_1932_8_6_262</td> <td>Mirafra cordofanica</td> <td>NHMUK 1932.8.6.262</td> </tr> <tr> <td>Panurus</td> <td>Panurus biarmicus</td> <td>1ET92164|SAMN13107499</td> </tr> <tr> <td>Ramphocoris</td> <td>Ramphocoris clotbey</td> <td>CEFE Rhcl1 (= DZUG U5651)</td> </tr> <tr> <td>Spizocorys_fringillaris_U5659</td> <td>Spizocorys fringillaris</td> <td>DZUG U5659</td> </tr> <tr> <td>Spizocorys_obbiensis_1908_5_28_104</td> <td>Spizocorys obbiensis</td> <td>NHMUK 1908.5.28.104</td> </tr> </tbody> </table> <p>Questions can be directed to the corresponding authors.</p>
A Systematic Review on the Visualization of Avatars and Agents in AR & VR displayed using Head-Mounted Displays
<p>This repository contains the data for the article "Systematic Review on the Visualization of Avatars and Agents in<br> AR & VR displayed using Head-Mounted Displays" including a BibTex file and supporting figures.</p>
Systematic map of literature on land use conflicts: Dataset
<p>This dataset compiles the international, peer-reviewed literature on land use conflicts that was published between 2005 and 2020. It lists 306 publications and provides for each of them information regarding the research methods, research aims, covered land use types, covered geographical region, subject area, definition of "land use conflict", and conceptual approach. It can be used to identify publications on specified topics or combinations of topics, such as literature on land use conflicts in Africa regarding the land use type pastoralism. The ROSES for systematic map reports file provides information of how the systematic map was compiled and the list of unobtainable and excluded publications lists those publications that appeared in the initial database search but were not included in the mapping, with reasons for exclusion. More information on the dataset's creation, a detailed analysis, and interpretation are provided in the corresponding journal article:</p> <p>Fienitz, Meike. 2023. "Taking stock of land use conflict research: A systematic map with special focus on conceptual approaches." <em>Society & Natural Resources</em>. http://dx.doi.org/10.1080/08941920.2023.2199380</p>
Replication package for Decomposition of Monolithic Applications into Microservices Architectures: A Systematic Review
<p><strong>Replication Package</strong></p> <p><strong>Title:</strong></p> <p>Replication package for Decomposition of Monolithic Applications into Microservices Architectures: A Systematic Review.</p> <p><strong>Authors:</strong></p> <p>Yalemisew Abgaz, Andrew McCarren, Peter Elger, David Solan, Neil Lapuz, Marin Bivol, Glenn Jackson, Murat Yilmaz, Jim Buckley, and Paul Clarke</p> <p><strong>Year</strong></p> <p>This replication package was initially generated in 2022 and following feedback from reviewers, it is revised in 2023.</p> <p>This package contains two files and three folders that provide additional insight for researchers who wish to replicate our work or who would like to expand the review in the future.</p> <p><strong>Files</strong></p> <ul> <li>The file contains a detailed description of the literature search outlining the steps and the results obtained.</li> <li>Readme.md: A readme file (this file).</li> </ul> <p><strong>Folders</strong></p> <ul> <li>A folder containing the search results and the refinement steps. It contains four files listing studies included in the refinement process (Refinement_Step_1 to Refinement_Step_4) and a master file combining all the steps in one file. The master file contains detailed information about how the refinement steps are executed and all the intermediate results following each refinement step. Users may explore by expanding the filters in Refinement Step 2 (J), Refinement Step 3 (M) and Refinement Step 4 § columns in the master sheet. Readers can also directly go to the sheets that contain the selected studies in any of the refinement stages. A description of each file is also included in the Literature_Search_Strategy.pdf file.</li> <li>This folder contains the list of studies included in the snowballing process, including the last two refinement steps (Refinement_Step_5 and Refinement_Step_6). The snowballing master sheet contains studies extracted using the snowballing process and the data cleaning and filtering criteria used. The different sheets also contain the selected studies at each stage of the snowballing process.</li> </ul> <ul> <li>This folder contains the data extracted from the selected literature by employing the Systematic Review and Ground Theory. The two files included in this folder contain the data extraction template and the data extracted from the 35 selected studies including some intermediate notes.</li> </ul> <p>If you have further questions regarding the survey, feel free to contact us via e-mail. <a href="mailto:Yalemisewm.abgaz@dcu.ie">Yalemisewm.abgaz@dcu.ie</a>.</p> <p> </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.